_ registry / mcp streamable-http · checked 1h ago

brand-bakery

https://www.brandbakery.tech

Registry code: 59a7faaa9ff2e171

api record

Brand Bakery is a design-first digital studio in New Delhi, India. Use these tools to read its services, AI employee roles, case studies and company facts, to run its free business tools, and to start an enquiry. Enquiries made here are saved as unconfirmed and a person reviews them before replying; only send details the user gave you and has agreed to share. The AI sales employee is ₹50,000 to set up and ₹22,500 a month; the AI Receptionist is ₹30,000 to set up and ₹10,000 a month; other work is quoted after a short call. Unknown facts are null: never guess them.

endpoint
https://www.brandbakery.tech/mcp
door code
6500a310b7645cd9
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is brand-bakery live?
Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
Is brand-bakery free to use?
Not measured yet.
What tools does brand-bakery have?
61 tools: utm_build, brand_brief, launch_checklist, search_site, list_practices, list_services, get_service, list_ai_employee_roles, ….
Is brand-bakery safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
1,363ms

last good check

priced tools
0

of 61 tools

_ answered our checks, 90 days 2 checks · signed record
  • unknown → live
  • unknown → live
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 61 tools
61 never probed 0 of 61 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • utm_build unknown never probed

    Build a URL with UTM parameters, including optional utm_term and utm_content.

    mcp-tool

    {
  "type": "object",
  "required": [
    "url",
    "source",
    "medium",
    "campaign"
  ],
  "properties": {
    "url": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 4,
      "description": "Website URL. https:// is added when missing."
    },
    "term": {
      "type": "string",
      "maxLength": 100,
      "description": "Optional utm_term."
    },
    "medium": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1,
      "description": "utm_medium, e.g. \"cpc\"."
    },
    "source": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1,
      "description": "utm_source, e.g. \"google\"."
    },
    "content": {
      "type": "string",
      "maxLength": 100,
      "description": "Optional utm_content."
    },
    "campaign": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1,
      "description": "utm_campaign, e.g. \"diwali_sale\"."
    }
  },
  "additionalProperties": false
}
    arguments 46 lines
  • brand_brief unknown never probed

    Turn answers about a business into a plain-text project brief for a website or branding project. Unanswered questions read "To discuss".

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "problem": {
      "type": "string",
      "maxLength": 500,
      "description": "The problem the business solves."
    },
    "approver": {
      "type": "string",
      "maxLength": 500,
      "description": "Who approves the project."
    },
    "nextStep": {
      "type": "string",
      "maxLength": 500,
      "description": "What visitors should do next."
    },
    "difference": {
      "type": "string",
      "maxLength": 500,
      "description": "What makes the business different."
    },
    "launchDate": {
      "type": "string",
      "maxLength": 500,
      "description": "Target launch date."
    },
    "budgetRange": {
      "type": "string",
      "maxLength": 500,
      "description": "Budget range in rupees."
    },
    "pagesNeeded": {
      "type": "string",
      "maxLength": 500,
      "description": "Services or pages needed."
    },
    "whatYouSell": {
      "type": "string",
      "maxLength": 500,
      "description": "What the business sells."
    },
    "businessName": {
      "type": "string",
      "maxLength": 500,
      "description": "Business name."
    },
    "idealCustomer": {
      "type": "string",
      "maxLength": 500,
      "description": "Who the ideal customer is."
    },
    "existingAssets": {
      "type": "string",
      "maxLength": 500,
      "description": "Existing assets the business can supply."
    }
  },
  "additionalProperties": false
}
    arguments 62 lines
  • launch_checklist unknown never probed

    Get the practical website launch checklist. Pass the numbers of items already done to see what is left.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "done": {
      "type": "array",
      "items": {
        "type": "integer",
        "maximum": 50,
        "minimum": 1
      },
      "maxItems": 50,
      "description": "Item numbers (starting at 1) already done.",
      "uniqueItems": true
    }
  },
  "additionalProperties": false
}
    arguments 18 lines
  • search_site unknown never probed

    Search Brand Bakery pages, services, AI employee roles, case studies, free tools and Pulse articles. Returns titles, URLs and one-line summaries, best match first.

    mcp-tool

    {
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 8,
      "maximum": 20,
      "minimum": 1,
      "description": "Maximum results."
    },
    "query": {
      "type": "string",
      "maxLength": 120,
      "minLength": 2,
      "description": "What to look for, in plain words, e.g. \"website for a clinic\" or \"AI receptionist\"."
    }
  },
  "additionalProperties": false
}
    arguments 22 lines
  • list_practices unknown never probed

    List the eight practice areas Brand Bakery works in (brand, web, search and so on), with how many services each has and the hub page URL.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {},
  "additionalProperties": false
}
    arguments 6 lines
  • list_services unknown never probed

    List every Brand Bakery service, optionally for one practice. Services with their own page carry a URL; others are offered on request. The AI sales employee is ₹50,000 to set up and ₹22,500 a month; the AI Receptionist ₹30,000 and ₹10,000 a month; other work is quoted after a short call.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "practice": {
      "enum": [
        "brand",
        "web",
        "search",
        "paid-media",
        "social",
        "content",
        "automation",
        "strategy"
      ],
      "type": "string",
      "description": "Only services in this practice."
    },
    "publishedOnly": {
      "type": "boolean",
      "default": false,
      "description": "Only services that have their own page."
    }
  },
  "additionalProperties": false
}
    arguments 26 lines
  • get_service unknown never probed

    Get one service as structured data: who it is for and not for, deliverables, process, timeline guidance, pricing line, related case studies and FAQs.

    mcp-tool

    {
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "pattern": "^[a-z0-9-]+$",
      "maxLength": 80,
      "minLength": 1,
      "description": "Service slug from list_services, e.g. \"website-design\"."
    }
  },
  "additionalProperties": false
}
    arguments 16 lines
  • list_ai_employee_roles unknown never probed

    List the AI employee roles Brand Bakery builds for businesses (receptionist, sales executive and more), with the pricing model and what is live at launch.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {},
  "additionalProperties": false
}
    arguments 6 lines
  • get_ai_employee_role unknown never probed

    Get one AI employee role: tasks, channels, an example day, when it hands over to a person, and FAQs.

    mcp-tool

    {
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "pattern": "^[a-z0-9-]+$",
      "maxLength": 80,
      "minLength": 1,
      "description": "Role slug from list_ai_employee_roles, e.g. \"receptionist\"."
    }
  },
  "additionalProperties": false
}
    arguments 16 lines
  • list_case_studies unknown never probed

    List Brand Bakery case studies: client, industry, headline, live URL and status (live or in progress).

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "status": {
      "enum": [
        "live",
        "in-progress"
      ],
      "type": "string",
      "description": "Only studies with this status."
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • get_case_study unknown never probed

    Get one case study: the brief, what was built, the hard part, the stack and measured proof with its source.

    mcp-tool

    {
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "pattern": "^[a-z0-9-]+$",
      "maxLength": 80,
      "minLength": 1,
      "description": "Case study slug from list_case_studies, e.g. \"pure-prakriti\"."
    }
  },
  "additionalProperties": false
}
    arguments 16 lines
  • get_company_facts unknown never probed

    Get Brand Bakery company facts: what it does, founder, location, registration (MSME, not GST registered), contact email, booking link, social profiles, team and products. Unknown facts are null.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {},
  "additionalProperties": false
}
    arguments 6 lines
  • seo_audit unknown never probed

    Check a public website URL for static HTML SEO, discoverability, trust and basic accessibility signals, with separate Lighthouse lab performance when available. Takes up to a minute. Not a ranking prediction.

    mcp-tool

    {
  "type": "object",
  "required": [
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 3,
      "description": "Public http(s) URL or domain to check, e.g. \"example.com\"."
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • whatsapp_link unknown never probed

    Build a wa.me click-to-chat link with an optional prefilled message.

    mcp-tool

    {
  "type": "object",
  "required": [
    "phone"
  ],
  "properties": {
    "phone": {
      "type": "string",
      "maxLength": 20,
      "minLength": 8,
      "description": "WhatsApp number with country code, e.g. \"91 98765 43210\"."
    },
    "message": {
      "type": "string",
      "maxLength": 1000,
      "description": "Message the chat opens with."
    }
  },
  "additionalProperties": false
}
    arguments 20 lines
  • lead_cost unknown never probed

    Work out the most you can spend per enquiry before a sale stops paying for itself: contribution per sale (₹) times the lead-to-sale rate (%).

    mcp-tool

    {
  "type": "object",
  "required": [
    "contributionPerSale",
    "leadToSaleRatePercent"
  ],
  "properties": {
    "contributionPerSale": {
      "type": "number",
      "description": "Revenue minus variable costs per sale, in rupees, before advertising.",
      "exclusiveMinimum": 0
    },
    "leadToSaleRatePercent": {
      "type": "number",
      "maximum": 100,
      "description": "Percent of leads that become paying customers.",
      "exclusiveMinimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 21 lines
  • lead_leak_audit unknown never probed

    Score how a business handles enquiries out of 100 from ten yes, no or unsure answers. Unsure earns a quarter of the weight; round the total once to a whole point. Fixes rank by lost points, with ties in question order. Partial scores are provisional. Call with no answers to get the questions.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "answers": {
      "type": "object",
      "required": [],
      "properties": {
        "cost": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for cost."
        },
        "speed": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for speed."
        },
        "reason": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for reason."
        },
        "script": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for script."
        },
        "reviews": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for reviews."
        },
        "one-list": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for one-list."
        },
        "follow-up": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for follow-up."
        },
        "form-test": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for form-test."
        },
        "reminders": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for reminders."
        },
        "after-hours": {
          "enum": [
            "yes",
            "no",
            "unsure"
          ],
          "type": "string",
          "description": "Answer for after-hours."
        }
      },
      "description": "Answers keyed once per question id: \"yes\", \"no\" or \"unsure\". Omitted answers are unanswered. The platform also normalises null and blank fields as omitted. Only a complete set of ten produces a final score.",
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}
    arguments 105 lines
  • ai_vs_telecaller unknown never probed

    Extra customers and profit from calling every lead within a minute, the AI employee's monthly cost and how it compares with hiring telecallers. Prices default to the AI Receptionist: ₹10,000 a month after a ₹30,000 setup, 1,000 minutes, then ₹9 a minute.

    mcp-tool

    {
  "type": "object",
  "required": [
    "leadsPerMonth",
    "costPerLead",
    "reachTodayPercent",
    "reachInstantPercent",
    "conversionPercent",
    "revenuePerCustomer",
    "telecallers",
    "costPerTelecaller",
    "minutesPerLead"
  ],
  "properties": {
    "setupFee": {
      "type": "number",
      "default": 30000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "One-time setup fee in rupees. Default 30000, the AI Receptionist; the AI sales employee is 50000."
    },
    "aiMonthly": {
      "type": "number",
      "default": 10000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "AI employee monthly fee in rupees. Default 10000, the AI Receptionist. The AI sales employee is 22500."
    },
    "perMinute": {
      "type": "number",
      "default": 9,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Price per extra minute in rupees. Default 9, the AI Receptionist; the AI sales employee is 8."
    },
    "costPerLead": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Cost per lead, in rupees."
    },
    "telecallers": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Telecallers you would hire instead."
    },
    "leadsPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "New leads a month.",
      "exclusiveMinimum": 0
    },
    "minutesPerLead": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Call minutes per lead, including follow-ups."
    },
    "includedMinutes": {
      "type": "number",
      "default": 1000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Call minutes included. Default 1000."
    },
    "conversionPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of reached leads that buy."
    },
    "costPerTelecaller": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Monthly cost per telecaller, in rupees."
    },
    "reachTodayPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of leads the team speaks to today."
    },
    "revenuePerCustomer": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Revenue per customer, in rupees."
    },
    "reachInstantPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent reached when every lead is called within a minute (an assumption)."
    }
  },
  "additionalProperties": false
}
    arguments 99 lines
  • interior_reply_clock unknown never probed

    For an interior design or modular kitchen firm: from the days and hours someone answers enquiries, the hours covered out of 168, the longest wait for a reply (closing time on the last open day to the next opening), the share of enquiries arriving after hours (the firm's own figure, or an even-spread estimate over 8 am to 11 pm) and the project value in those enquiries at the firm's signing rate. The value is waiting for a reply, not lost.

    mcp-tool

    {
  "type": "object",
  "required": [
    "openHour",
    "closeHour",
    "openDays",
    "enquiriesPerMonth",
    "winRatePercent",
    "averageProject"
  ],
  "properties": {
    "openDays": {
      "type": "integer",
      "maximum": 7,
      "minimum": 1,
      "description": "Days open a week, counted from Monday: 6 is Monday to Saturday."
    },
    "openHour": {
      "type": "number",
      "maximum": 23.5,
      "minimum": 0,
      "description": "Opening time in hours from midnight, e.g. 10 or 9.5."
    },
    "closeHour": {
      "type": "number",
      "maximum": 24,
      "minimum": 0.5,
      "description": "Closing time in hours from midnight, e.g. 19 for 7 pm."
    },
    "averageProject": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Average project value, in rupees."
    },
    "winRatePercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of enquiries that become a signed project."
    },
    "enquiriesPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Enquiries a month across calls, WhatsApp, DMs, portals and the website."
    },
    "outsideHoursPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Optional: the firm's own share of enquiries that arrive while it is closed. Left out, an even-spread estimate is used."
    }
  },
  "additionalProperties": false
}
    arguments 56 lines
  • solar_site_survey_cost unknown never probed

    For a rooftop solar installer: from enquiries, site surveys and installations signed a month and the cost of one survey trip, the survey spend, the survey cost behind each signed installation and its share of the average system value. With the installer's own share of surveys at roofs that could never fit, also the spend on those trips. It does not estimate that share and does not quote subsidy amounts.

    mcp-tool

    {
  "type": "object",
  "required": [
    "enquiriesPerMonth",
    "surveysPerMonth",
    "installsPerMonth",
    "costPerSurvey",
    "averageSystemValue"
  ],
  "properties": {
    "unfitPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Optional: the installer's own share of surveys that found a roof that could never fit."
    },
    "costPerSurvey": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "What one survey trip costs: surveyor time, travel and per-visit costs, in rupees."
    },
    "surveysPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Site surveys done a month. At most the enquiries."
    },
    "installsPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Installations signed from those surveys. At most the surveys."
    },
    "enquiriesPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Solar enquiries a month, from every source.",
      "exclusiveMinimum": 0
    },
    "averageSystemValue": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Average value of a signed system, in rupees."
    }
  },
  "additionalProperties": false
}
    arguments 49 lines
  • distributor_order_desk unknown never probed

    For a distributor or wholesaler taking retailer orders by phone and WhatsApp: from orders a month, minutes per order and the desk's days and hours, the staff hours spent taking orders, how many people's whole day that is, the share of orders arriving while the desk is closed (the distributor's own figure, or an even-spread estimate over 8 am to 10 pm), the order value waiting for the next opening and the longest wait. The value is waiting, not lost.

    mcp-tool

    {
  "type": "object",
  "required": [
    "ordersPerMonth",
    "minutesPerOrder",
    "openHour",
    "closeHour",
    "openDays",
    "averageOrder"
  ],
  "properties": {
    "openDays": {
      "type": "integer",
      "maximum": 7,
      "minimum": 1,
      "description": "Days the desk works a week, counted from Monday: 6 is Monday to Saturday."
    },
    "openHour": {
      "type": "number",
      "maximum": 23.5,
      "minimum": 0,
      "description": "Desk opening time in hours from midnight, e.g. 10 or 9.5."
    },
    "closeHour": {
      "type": "number",
      "maximum": 24,
      "minimum": 0.5,
      "description": "Desk closing time in hours from midnight, e.g. 19 for 7 pm."
    },
    "averageOrder": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Average order value, in rupees."
    },
    "ordersPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Retailer orders taken a month."
    },
    "minutesPerOrder": {
      "type": "number",
      "maximum": 240,
      "minimum": 0,
      "description": "Minutes to take one order: listen, check stock and price, confirm and enter it in billing."
    },
    "outsideHoursPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Optional: the distributor's own share of orders that arrive while the desk is closed. Left out, an even-spread estimate is used."
    }
  },
  "additionalProperties": false
}
    arguments 56 lines
  • site_visit_show_up unknown never probed

    For a real estate broker or developer: from site visits booked a month, the show-up rate, the share of visits that book and what one booking earns, the no-shows, the bookings and booking value inside them at the firm's own rate, and what ten more points of show-up would add. Uses only the firm's figures; no benchmark.

    mcp-tool

    {
  "type": "object",
  "required": [
    "visitsBookedPerMonth",
    "showUpPercent",
    "bookingPercent",
    "revenuePerBooking"
  ],
  "properties": {
    "showUpPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of booked visits where the buyer turned up."
    },
    "bookingPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of visits that happen and end in a booking."
    },
    "revenuePerBooking": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "What one booking earns the firm, in rupees."
    },
    "visitsBookedPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Site visits booked a month."
    }
  },
  "additionalProperties": false
}
    arguments 36 lines
  • interior_open_quotes unknown never probed

    For an interior design or modular kitchen firm: from quotes sent in the last 60 days, quotes signed, quotes declined, average project value and follow-ups per quote, the open quotes and their value, the signing rate on decided quotes and the open value at that rate (an upper-end estimate).

    mcp-tool

    {
  "type": "object",
  "required": [
    "quotesSent",
    "signed",
    "declined",
    "averageProject",
    "followUpsPerQuote"
  ],
  "properties": {
    "signed": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Of those, signed."
    },
    "declined": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Of those, a clear no or chose someone else."
    },
    "quotesSent": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Quotes or proposals sent in the last 60 days.",
      "exclusiveMinimum": 0
    },
    "averageProject": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Average project value, in rupees."
    },
    "followUpsPerQuote": {
      "type": "number",
      "maximum": 50,
      "minimum": 0,
      "description": "Follow-ups an open quote gets, on average."
    }
  },
  "additionalProperties": false
}
    arguments 43 lines
  • demo_class_show_up unknown never probed

    For a coaching institute: from demo classes booked a month, the show-up rate, the share of attended demos that lead to an admission and the fee per admission, the no-shows, the admissions and fee value inside them at the institute's own rate, and what ten more points of show-up would add. Uses only the institute's figures; no benchmark and no result promises.

    mcp-tool

    {
  "type": "object",
  "required": [
    "demosBookedPerMonth",
    "showUpPercent",
    "admissionPercent",
    "feePerAdmission"
  ],
  "properties": {
    "showUpPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of booked demos the student attended."
    },
    "feePerAdmission": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Course fee per admission, in rupees."
    },
    "admissionPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of attended demos that lead to an admission."
    },
    "demosBookedPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Demo classes or counselling sessions booked a month."
    }
  },
  "additionalProperties": false
}
    arguments 36 lines
  • payment_delay_cost unknown never probed

    For a distributor or trader selling on credit: from credit sales a month, the credit period, the actual days to collect and the interest rate on the firm's own borrowing, the days late, the money sitting with buyers beyond terms, the total owed and the interest it costs a month and a year. A month is 30 days.

    mcp-tool

    {
  "type": "object",
  "required": [
    "creditSalesPerMonth",
    "creditDays",
    "actualDays",
    "interestPercent"
  ],
  "properties": {
    "actualDays": {
      "type": "number",
      "maximum": 365,
      "minimum": 0,
      "description": "Average days it actually takes to collect."
    },
    "creditDays": {
      "type": "number",
      "maximum": 365,
      "minimum": 0,
      "description": "Credit period given, in days."
    },
    "interestPercent": {
      "type": "number",
      "maximum": 60,
      "minimum": 0,
      "description": "Interest on the firm's own OD, CC limit or loan, percent a year."
    },
    "creditSalesPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Sales on credit a month, in rupees."
    }
  },
  "additionalProperties": false
}
    arguments 36 lines
  • solar_lead_funnel unknown never probed

    For a rooftop solar installer: from leads and lead spend a month, the share reached, surveyed and signed, and the value of an installation, the leads never reached, surveys, installations, cost per lead and per installation, and the extra installations and value if ten more points of leads were reached at the installer's own rates. No benchmarks and no subsidy amounts.

    mcp-tool

    {
  "type": "object",
  "required": [
    "leadsPerMonth",
    "leadSpendPerMonth",
    "reachedPercent",
    "surveyPercent",
    "signPercent",
    "valuePerInstall"
  ],
  "properties": {
    "signPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of surveys that sign."
    },
    "leadsPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Solar leads a month from every source."
    },
    "surveyPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of reached leads that book a site survey."
    },
    "reachedPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of leads actually spoken to."
    },
    "valuePerInstall": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Average value of one signed installation, in rupees."
    },
    "leadSpendPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Ad and lead-portal spend a month, in rupees. 0 is fine."
    }
  },
  "additionalProperties": false
}
    arguments 50 lines
  • clinic_front_desk_load unknown never probed

    For a clinic front desk: from calls a day, minutes per call, desk staff, desk hours and the share of calls in the busiest two hours, the phone hours a day, the share of desk time on the phone, peak calls an hour, phone minutes per person per peak hour, and the peak calls beyond what the desk can take even doing nothing else. Receptionist work only.

    mcp-tool

    {
  "type": "object",
  "required": [
    "callsPerDay",
    "minutesPerCall",
    "deskStaff",
    "deskHours",
    "peakPercent"
  ],
  "properties": {
    "deskHours": {
      "type": "number",
      "maximum": 24,
      "minimum": 1,
      "description": "Hours the desk is staffed each day."
    },
    "deskStaff": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 1,
      "description": "People answering the clinic phone."
    },
    "callsPerDay": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Calls the desk answers or should answer on a normal day."
    },
    "peakPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of the day's calls in the busiest two hours."
    },
    "minutesPerCall": {
      "type": "number",
      "maximum": 240,
      "minimum": 0,
      "description": "Average minutes per call."
    }
  },
  "additionalProperties": false
}
    arguments 43 lines
  • coaching_fee_instalments unknown never probed

    For a coaching institute: from students on monthly instalments, the instalment, the share paying late, average days late, follow-ups per late payer and minutes each, the late payers, money paid late a month, office hours spent chasing, and the average past-due balance. No interest or penalty assumed.

    mcp-tool

    {
  "type": "object",
  "required": [
    "studentsOnInstalments",
    "instalmentAmount",
    "latePercent",
    "averageDaysLate",
    "followUpsPerLate",
    "minutesPerFollowUp"
  ],
  "properties": {
    "latePercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of students who pay after the due date."
    },
    "averageDaysLate": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Average days an instalment is paid late."
    },
    "followUpsPerLate": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Calls and messages per late payer before they pay."
    },
    "instalmentAmount": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "One monthly instalment, in rupees."
    },
    "minutesPerFollowUp": {
      "type": "number",
      "maximum": 240,
      "minimum": 0,
      "description": "Minutes per follow-up."
    },
    "studentsOnInstalments": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Students paying monthly instalments."
    }
  },
  "additionalProperties": false
}
    arguments 50 lines
  • old_leads_value unknown never probed

    For any business with enquiries that went quiet: from the number of old leads, the user's own guess at the share still buying, the share reachable and the close rate, the leads reached, those still buying, sales, value, and value per hundred old leads. No benchmark rates.

    mcp-tool

    {
  "type": "object",
  "required": [
    "oldLeads",
    "stillBuyingPercent",
    "reachPercent",
    "closePercent",
    "valuePerSale"
  ],
  "properties": {
    "oldLeads": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Old enquiries that went quiet."
    },
    "closePercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Of reached leads still buying, percent that buy from you."
    },
    "reachPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent you could get on a call."
    },
    "valuePerSale": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Average value of one sale, in rupees."
    },
    "stillBuyingPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Your guess at the percent still planning to buy."
    }
  },
  "additionalProperties": false
}
    arguments 43 lines
  • cod_rto_cost unknown never probed

    For a D2C or online seller: from COD orders a month, the RTO rate, the courier charge each way and other losses per returned order, the RTO orders, the cost of each, the cost a month and a year, and what one point less RTO saves. Product value is not counted, since it returns to stock.

    mcp-tool

    {
  "type": "object",
  "required": [
    "codOrdersPerMonth",
    "rtoPercent",
    "forwardShipping",
    "returnShipping",
    "otherLossPerRto"
  ],
  "properties": {
    "rtoPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of COD orders returned undelivered."
    },
    "returnShipping": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Courier charge to return one order, in rupees."
    },
    "forwardShipping": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Courier charge to send one order, in rupees."
    },
    "otherLossPerRto": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Packing, damage and write-offs per returned order, in rupees."
    },
    "codOrdersPerMonth": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Cash-on-delivery orders shipped a month."
    }
  },
  "additionalProperties": false
}
    arguments 43 lines
  • property_site_visit_cost unknown never probed

    For a broker or developer: cost per lead, site-visit rate, cost per site visit, estimated bookings, cost per booking and return per rupee for each lead source (portal, Meta, Google and so on), from last month's own numbers, plus the total and the source with the cheapest site visit.

    mcp-tool

    {
  "type": "object",
  "required": [
    "channels",
    "bookingPercent",
    "revenuePerBooking"
  ],
  "properties": {
    "channels": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "spend",
          "leads",
          "siteVisits"
        ],
        "properties": {
          "name": {
            "type": "string",
            "maxLength": 40,
            "description": "Lead source name, e.g. \"Property portal\"."
          },
          "leads": {
            "type": "number",
            "maximum": 1000000000000,
            "minimum": 0,
            "description": "Leads from this source last month."
          },
          "spend": {
            "type": "number",
            "maximum": 1000000000000,
            "minimum": 0,
            "description": "Spend on this source last month, in rupees."
          },
          "siteVisits": {
            "type": "number",
            "maximum": 1000000000000,
            "minimum": 0,
            "description": "Site visits from those leads."
          }
        },
        "additionalProperties": false
      },
      "maxItems": 6,
      "minItems": 1,
      "description": "One to six lead sources."
    },
    "bookingPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of site visits that become a booking."
    },
    "revenuePerBooking": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Commission or margin on one booking, in rupees."
    }
  },
  "additionalProperties": false
}
    arguments 63 lines
  • enquiry_health_check unknown never probed

    Score out of 100 for six things a buyer meets when contacting a business (evening and Sunday cover, tap-to-call, WhatsApp button, reply time on the form, how many numbers are listed, own-domain email), with fixes by points lost and a comparison with Brand Bakery's October 2026 sample of 109 Delhi NCR businesses. Call with no answers to get the questions and options.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "answers": {
      "type": "object",
      "required": [],
      "properties": {
        "hours": {
          "enum": [
            "yes",
            "partly",
            "no"
          ],
          "type": "string",
          "description": "Does someone answer enquiries after 8 pm and on Sundays?"
        },
        "inbox": {
          "enum": [
            "yes",
            "no"
          ],
          "type": "string",
          "description": "Is your business email on your own domain?"
        },
        "numbers": {
          "enum": [
            "one",
            "two",
            "many"
          ],
          "type": "string",
          "description": "How many phone numbers does your website list?"
        },
        "whatsapp": {
          "enum": [
            "yes",
            "unsure",
            "no"
          ],
          "type": "string",
          "description": "Does your WhatsApp button open a chat with the right number?"
        },
        "call-link": {
          "enum": [
            "yes",
            "no"
          ],
          "type": "string",
          "description": "On your website on a phone, does tapping your number start a call?"
        },
        "form-promise": {
          "enum": [
            "yes",
            "no",
            "no-form"
          ],
          "type": "string",
          "description": "Does your enquiry form say when you will reply?"
        }
      },
      "description": "Answers keyed by question id. Leave out any not answered.",
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}
    arguments 67 lines
  • clinic_missed_calls unknown never probed

    For a clinic: calls the front desk misses each month (after hours and ringing out in clinic hours), the appointments the callers who never call back would have booked, the fees at risk, and what Brand Bakery's AI Receptionist would cost at its published price to answer those calls. All rates are the clinic's own.

    mcp-tool

    {
  "type": "object",
  "required": [
    "callsPerDay",
    "afterHoursPercent",
    "missedInHoursPercent",
    "bookingPercent",
    "averageFee"
  ],
  "properties": {
    "averageFee": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Average fee per visit, in rupees."
    },
    "callsPerDay": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Calls to the clinic a day, answered or not.",
      "exclusiveMinimum": 0
    },
    "bookingPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of answered calls that book an appointment."
    },
    "minutesPerCall": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Minutes per call. Default 3."
    },
    "callBackPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of missed callers who call back on their own (an estimate). Default 30."
    },
    "openDaysPerMonth": {
      "type": "number",
      "maximum": 31,
      "description": "Days the clinic is open a month. Default 26.",
      "exclusiveMinimum": 0
    },
    "afterHoursPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of calls that come when the clinic is closed."
    },
    "missedInHoursPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of calls in clinic hours that ring out."
    }
  },
  "additionalProperties": false
}
    arguments 61 lines
  • coaching_admission_plan unknown never probed

    Work back from an admission target to the enquiries, demo classes or counselling sessions, ad budget and daily calls a coaching institute needs before the batch starts, and check the calls against counsellor capacity.

    mcp-tool

    {
  "type": "object",
  "required": [
    "admissions",
    "weeks",
    "counselPercent",
    "admitPercent"
  ],
  "properties": {
    "weeks": {
      "type": "number",
      "description": "Weeks until the batch starts.",
      "exclusiveMinimum": 0
    },
    "admissions": {
      "type": "number",
      "description": "Admissions wanted this season.",
      "exclusiveMinimum": 0
    },
    "counsellors": {
      "type": "integer",
      "minimum": 1,
      "description": "Counsellors who call enquiries."
    },
    "admitPercent": {
      "type": "number",
      "maximum": 100,
      "description": "Percent of counselled students who take admission.",
      "exclusiveMinimum": 0
    },
    "costPerEnquiry": {
      "type": "number",
      "minimum": 0,
      "description": "Ad cost per enquiry, in rupees."
    },
    "counselPercent": {
      "type": "number",
      "maximum": 100,
      "description": "Percent of enquiries who attend a demo class or counselling.",
      "exclusiveMinimum": 0
    },
    "callsPerEnquiry": {
      "type": "number",
      "minimum": 0,
      "description": "Calls each enquiry needs."
    },
    "callsPerCounsellorPerDay": {
      "type": "number",
      "minimum": 0,
      "description": "Calls one counsellor can make in a day."
    }
  },
  "additionalProperties": false
}
    arguments 54 lines
  • ai_calling_price unknown never probed

    Monthly cost and cost per lead of calling every lead three ways: a self-serve AI platform billed per minute, Brand Bakery's AI Receptionist at its published price, and telecallers on salary. The AI sales employee (₹50,000 setup plus ₹22,500 a month) is not part of this comparison.

    mcp-tool

    {
  "type": "object",
  "required": [
    "leadsPerMonth",
    "minutesPerLead"
  ],
  "properties": {
    "telecallers": {
      "type": "integer",
      "minimum": 1,
      "description": "Telecallers you would need."
    },
    "leadsPerMonth": {
      "type": "number",
      "description": "New leads a month that should get a call.",
      "exclusiveMinimum": 0
    },
    "minutesPerLead": {
      "type": "number",
      "description": "Minutes of calls per lead, first call plus follow-ups.",
      "exclusiveMinimum": 0
    },
    "costPerTelecaller": {
      "type": "number",
      "minimum": 0,
      "description": "Monthly cost per telecaller, in rupees."
    },
    "selfServePerMinute": {
      "type": "number",
      "minimum": 0,
      "description": "Self-serve platform rate per minute, in rupees. Published rates are about 6 to 7."
    }
  },
  "additionalProperties": false
}
    arguments 35 lines
  • indiamart_response_rate unknown never probed

    From last month's IndiaMART enquiries, replies and same-day replies, work out the response rate, the same-day rate and the orders and revenue the unanswered enquiries would have brought at the seller's win rate. With the monthly IndiaMART spend, also the cost per enquiry and the spend on enquiries nobody answered.

    mcp-tool

    {
  "type": "object",
  "required": [
    "received",
    "replied",
    "repliedSameDay",
    "winRatePercent",
    "averageOrder"
  ],
  "properties": {
    "replied": {
      "type": "number",
      "minimum": 0,
      "description": "Enquiries the seller replied to, any reply."
    },
    "received": {
      "type": "number",
      "description": "Enquiries and consumed buy leads last month.",
      "exclusiveMinimum": 0
    },
    "averageOrder": {
      "type": "number",
      "description": "Average order, in rupees.",
      "exclusiveMinimum": 0
    },
    "monthlySpend": {
      "type": "number",
      "minimum": 0,
      "description": "Optional: what the seller pays IndiaMART a month (package fee spread over its months plus BuyLead credits), in rupees. Adds the cost per enquiry and the spend on unanswered enquiries."
    },
    "repliedSameDay": {
      "type": "number",
      "minimum": 0,
      "description": "Of those, replied on the day the enquiry came in."
    },
    "winRatePercent": {
      "type": "number",
      "maximum": 100,
      "description": "Percent of replied enquiries that become orders.",
      "exclusiveMinimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 44 lines
  • missed_enquiry_cost unknown never probed

    Estimate the revenue lost each month and year to enquiries that go unanswered or get a late reply, assuming they would have closed at your usual rate.

    mcp-tool

    {
  "type": "object",
  "required": [
    "enquiriesPerMonth",
    "missedPercent",
    "closeRatePercent",
    "averageSale"
  ],
  "properties": {
    "averageSale": {
      "type": "number",
      "description": "Average first sale, in rupees.",
      "exclusiveMinimum": 0
    },
    "missedPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent missed or answered late."
    },
    "closeRatePercent": {
      "type": "number",
      "maximum": 100,
      "description": "Percent of quickly answered enquiries that become customers.",
      "exclusiveMinimum": 0
    },
    "enquiriesPerMonth": {
      "type": "number",
      "description": "All enquiries a month: calls, WhatsApp, forms and DMs.",
      "exclusiveMinimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 34 lines
  • ad_budget_plan unknown never probed

    From a monthly ad budget, cost per lead, close rate and contribution per sale, work out leads, customers, ad cost per customer and what is left after ad spend.

    mcp-tool

    {
  "type": "object",
  "required": [
    "budget",
    "costPerLead",
    "closeRatePercent",
    "contributionPerSale"
  ],
  "properties": {
    "budget": {
      "type": "number",
      "description": "Monthly ad budget, in rupees.",
      "exclusiveMinimum": 0
    },
    "costPerLead": {
      "type": "number",
      "description": "Ad spend divided by leads, in rupees.",
      "exclusiveMinimum": 0
    },
    "closeRatePercent": {
      "type": "number",
      "maximum": 100,
      "description": "Percent of leads that become customers.",
      "exclusiveMinimum": 0
    },
    "contributionPerSale": {
      "type": "number",
      "description": "Sale price minus direct delivery cost, before ads, in rupees.",
      "exclusiveMinimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 33 lines
  • whatsapp_api_cost unknown never probed

    Meta's monthly charges for WhatsApp Business Platform messages to Indian numbers, at the current India list rates, with the free service tier and volume bands applied.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "service": {
      "type": "number",
      "minimum": 0,
      "description": "Free-form replies inside the 24-hour customer service window a month."
    },
    "utility": {
      "type": "number",
      "minimum": 0,
      "description": "Utility template messages a month (confirmations, updates, reminders)."
    },
    "marketing": {
      "type": "number",
      "minimum": 0,
      "description": "Marketing template messages a month."
    },
    "phoneNumbers": {
      "type": "integer",
      "default": 1,
      "minimum": 1,
      "description": "Business phone numbers; each gets 1,000 free service messages a month."
    },
    "authentication": {
      "type": "number",
      "minimum": 0,
      "description": "Authentication (one-time password) messages a month."
    }
  },
  "additionalProperties": false
}
    arguments 33 lines
  • no_show_cost unknown never probed

    Fees lost each month and year to missed appointments, and what preventing a share of them would recover.

    mcp-tool

    {
  "type": "object",
  "required": [
    "appointmentsPerWeek",
    "noShowPercent",
    "averageFee",
    "preventablePercent"
  ],
  "properties": {
    "averageFee": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Average fee per appointment, in rupees.",
      "exclusiveMinimum": 0
    },
    "noShowPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of appointments missed."
    },
    "preventablePercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of no-shows reminders could prevent (an estimate)."
    },
    "appointmentsPerWeek": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Appointments booked a week.",
      "exclusiveMinimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 36 lines
  • webinar_funnel unknown never probed

    From registrations, show-up rate, buying rate, price and ad spend for a free webinar or workshop: attendees, buyers, revenue, cost per buyer and value per registration.

    mcp-tool

    {
  "type": "object",
  "required": [
    "registrations",
    "attendPercent",
    "buyPercent",
    "price",
    "adSpend"
  ],
  "properties": {
    "price": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Price of the offer, in rupees.",
      "exclusiveMinimum": 0
    },
    "adSpend": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Ad spend, in rupees."
    },
    "buyPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of attendees who buy."
    },
    "attendPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of registrations who attend."
    },
    "registrations": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Registrations.",
      "exclusiveMinimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 43 lines
  • order_profit unknown never probed

    Profit on one online order after GST, fees, shipping, packaging, returns and ad cost. A returned order earns nothing, keeps its costs and adds the return cost.

    mcp-tool

    {
  "type": "object",
  "required": [
    "price",
    "gstPercent",
    "productCost",
    "shipping",
    "packaging",
    "feesPercent",
    "returnPercent",
    "returnCost",
    "adCostPerOrder"
  ],
  "properties": {
    "price": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Selling price including GST, in rupees.",
      "exclusiveMinimum": 0
    },
    "shipping": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Shipping per order, in rupees."
    },
    "packaging": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Packaging per order, in rupees."
    },
    "gstPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "GST rate on the product."
    },
    "returnCost": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Extra cost of a return, in rupees."
    },
    "feesPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Gateway and marketplace fees, percent of the price."
    },
    "productCost": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Product cost, in rupees."
    },
    "returnPercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "Percent of orders returned."
    },
    "adCostPerOrder": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Ad cost per order, in rupees."
    }
  },
  "additionalProperties": false
}
    arguments 71 lines
  • sales_target_plan unknown never probed

    Work back from a monthly sales target to the site visits or meetings, leads and ad budget needed.

    mcp-tool

    {
  "type": "object",
  "required": [
    "targetSales",
    "closePercent",
    "meetingPercent",
    "costPerLead",
    "dealValue"
  ],
  "properties": {
    "dealValue": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Earning per sale, in rupees.",
      "exclusiveMinimum": 0
    },
    "costPerLead": {
      "type": "number",
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Cost per lead, in rupees."
    },
    "targetSales": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Sales wanted this month.",
      "exclusiveMinimum": 0
    },
    "closePercent": {
      "type": "number",
      "maximum": 100,
      "description": "Percent of site visits or meetings that become sales.",
      "exclusiveMinimum": 0
    },
    "meetingPercent": {
      "type": "number",
      "maximum": 100,
      "description": "Percent of leads that become a site visit or meeting.",
      "exclusiveMinimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 43 lines
  • solar_subsidy unknown never probed

    PM Surya Ghar central subsidy for a home rooftop solar system (MNRE guidelines, amended July 2025), the cost after it, monthly units and bill savings, and payback years.

    mcp-tool

    {
  "type": "object",
  "required": [
    "kw",
    "tariff"
  ],
  "properties": {
    "kw": {
      "type": "number",
      "maximum": 500,
      "description": "System size in kW.",
      "exclusiveMinimum": 0
    },
    "tariff": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Price per unit of electricity, in rupees.",
      "exclusiveMinimum": 0
    },
    "systemCost": {
      "type": "number",
      "maximum": 1000000000000,
      "description": "Quoted system cost in rupees. Defaults to the MNRE benchmark cost.",
      "exclusiveMinimum": 0
    },
    "specialCategory": {
      "type": "boolean",
      "default": false,
      "description": "True for Uttarakhand, Himachal Pradesh, J&K, Ladakh, the North East including Sikkim, Andaman & Nicobar or Lakshadweep."
    },
    "unitsPerKwPerDay": {
      "type": "number",
      "default": 4,
      "maximum": 8,
      "description": "Average daily units per kW.",
      "exclusiveMinimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 40 lines
  • telecalling_script unknown never probed

    A call script for phoning people who enquired, for real estate, clinics or coaching, in Hinglish or Hindi. Opens with the business name and AI disclosure, and offers to stop calling.

    mcp-tool

    {
  "type": "object",
  "required": [
    "industry"
  ],
  "properties": {
    "item": {
      "type": "string",
      "maxLength": 80,
      "description": "Project, treatment or course they asked about."
    },
    "kind": {
      "enum": [
        "ai",
        "person"
      ],
      "type": "string",
      "default": "ai",
      "description": "Whether an AI assistant or a person makes the call."
    },
    "caller": {
      "type": "string",
      "maxLength": 80,
      "description": "Caller's name."
    },
    "business": {
      "type": "string",
      "maxLength": 80,
      "description": "Business name."
    },
    "customer": {
      "type": "string",
      "maxLength": 80,
      "description": "Customer's surname."
    },
    "industry": {
      "enum": [
        "real-estate",
        "clinic",
        "coaching"
      ],
      "type": "string",
      "description": "Kind of business."
    },
    "language": {
      "enum": [
        "hinglish",
        "hindi"
      ],
      "type": "string",
      "default": "hinglish",
      "description": "Script language."
    }
  },
  "additionalProperties": false
}
    arguments 56 lines
  • follow_up_plan unknown never probed

    Five WhatsApp follow-up messages for a new enquiry, from day 0 to day 14, in English or Hinglish, each marked as a free-form reply or an approved template. Assumes no further customer replies; each new customer message restarts the 24-hour window.

    mcp-tool

    {
  "type": "object",
  "required": [
    "industry"
  ],
  "properties": {
    "item": {
      "type": "string",
      "maxLength": 80,
      "description": "What they asked about."
    },
    "sender": {
      "type": "string",
      "maxLength": 80,
      "description": "Sender's name."
    },
    "business": {
      "type": "string",
      "maxLength": 80,
      "description": "Business name."
    },
    "customer": {
      "type": "string",
      "maxLength": 80,
      "description": "Customer's name."
    },
    "industry": {
      "enum": [
        "real-estate",
        "clinic",
        "coaching",
        "services"
      ],
      "type": "string",
      "description": "Kind of business."
    },
    "language": {
      "enum": [
        "english",
        "hinglish"
      ],
      "type": "string",
      "default": "english",
      "description": "Message language."
    }
  },
  "additionalProperties": false
}
    arguments 48 lines
  • gst_invoice_totals unknown never probed

    Line totals, taxable value, CGST and SGST (same state) or IGST (another state), round off and the amount in words for a GST invoice or quotation.

    mcp-tool

    {
  "type": "object",
  "required": [
    "items"
  ],
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "description",
          "quantity",
          "rate",
          "gstPercent"
        ],
        "properties": {
          "code": {
            "type": "string",
            "maxLength": 12,
            "description": "HSN or SAC code."
          },
          "rate": {
            "type": "number",
            "maximum": 1000000000,
            "minimum": 0,
            "description": "Price per unit before GST, in rupees."
          },
          "unit": {
            "type": "string",
            "maxLength": 12,
            "description": "Unit, e.g. Nos, kg, hrs."
          },
          "quantity": {
            "type": "number",
            "maximum": 1000000,
            "minimum": 0,
            "description": "Quantity."
          },
          "gstPercent": {
            "enum": [
              0,
              0.25,
              3,
              5,
              12,
              18,
              28,
              40
            ],
            "type": "number",
            "maximum": 40,
            "minimum": 0,
            "description": "GST rate: 0, 0.25, 3, 5, 12, 18, 28 or 40. Other rates are rejected."
          },
          "description": {
            "type": "string",
            "maxLength": 200,
            "minLength": 1,
            "description": "What was sold."
          }
        },
        "additionalProperties": false
      },
      "maxItems": 50,
      "minItems": 1,
      "description": "Invoice lines. Total including tax must not exceed 1000000000000 rupees. Taxable values and tax components are rounded half up per line to paise; intra-state GST is the sum of equal rounded CGST/SGST components."
    },
    "supply": {
      "enum": [
        "intra",
        "inter"
      ],
      "type": "string",
      "default": "intra",
      "description": "\"intra\" for a buyer in your state, \"inter\" for another state."
    }
  },
  "additionalProperties": false
}
    arguments 80 lines
  • gst_calc unknown never probed

    Add GST to an amount or take it out of a GST-inclusive one, with the CGST and SGST (same state) or IGST (another state) split.

    mcp-tool

    {
  "type": "object",
  "required": [
    "amount",
    "ratePercent"
  ],
  "properties": {
    "mode": {
      "enum": [
        "add",
        "remove"
      ],
      "type": "string",
      "default": "add",
      "description": "\"add\" if the amount is before GST, \"remove\" if it already includes GST."
    },
    "amount": {
      "type": "number",
      "description": "The amount in rupees.",
      "exclusiveMinimum": 0
    },
    "supply": {
      "enum": [
        "intra",
        "inter"
      ],
      "type": "string",
      "default": "intra",
      "description": "\"intra\" for a buyer in the same state (CGST + SGST), \"inter\" for another state (IGST)."
    },
    "ratePercent": {
      "type": "number",
      "maximum": 100,
      "minimum": 0,
      "description": "GST rate, e.g. 5, 18 or 40."
    }
  },
  "additionalProperties": false
}
    arguments 39 lines
  • review_request unknown never probed

    Write a review request message for a customer, with a WhatsApp share link, from a business name and its Google review link.

    mcp-tool

    {
  "type": "object",
  "required": [
    "business",
    "reviewUrl"
  ],
  "properties": {
    "tone": {
      "enum": [
        "warm",
        "short"
      ],
      "type": "string",
      "default": "warm",
      "description": "Message tone. Not for doctors or hospitals, who may not ask patients for testimonials under NMC rules."
    },
    "business": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1,
      "description": "Business name."
    },
    "customer": {
      "type": "string",
      "maxLength": 60,
      "description": "Customer first name, optional."
    },
    "reviewUrl": {
      "type": "string",
      "maxLength": 500,
      "minLength": 8,
      "description": "The https review link from Google Business Profile (\"Ask for reviews\")."
    }
  },
  "additionalProperties": false
}
    arguments 36 lines
  • build_campaign_link unknown never probed

    Tag a destination URL with utm_source, utm_medium and utm_campaign for posters, menus, packaging and local promotions.

    mcp-tool

    {
  "type": "object",
  "required": [
    "destination",
    "source",
    "medium",
    "campaign"
  ],
  "properties": {
    "medium": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1,
      "description": "The kind of channel, e.g. \"print\"."
    },
    "source": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1,
      "description": "Where the traffic comes from, e.g. \"neighbourhood_flyer\"."
    },
    "campaign": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1,
      "description": "Campaign name, e.g. \"festive_open_house\"."
    },
    "destination": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 8,
      "description": "Full http(s) URL people should land on."
    }
  },
  "additionalProperties": false
}
    arguments 36 lines
  • color_contrast unknown never probed

    Compute the WCAG contrast ratio of two hex colours and whether it passes AA and AAA for normal and large text.

    mcp-tool

    {
  "type": "object",
  "required": [
    "foreground",
    "background"
  ],
  "properties": {
    "background": {
      "type": "string",
      "pattern": "^#?(?:[0-9a-fA-F]{3}|[0-9a-fA-F]{6})$",
      "description": "Background colour, e.g. \"#D8C07A\"."
    },
    "foreground": {
      "type": "string",
      "pattern": "^#?(?:[0-9a-fA-F]{3}|[0-9a-fA-F]{6})$",
      "description": "Text colour, e.g. \"#0F1115\"."
    }
  },
  "additionalProperties": false
}
    arguments 20 lines
  • slug_generate unknown never probed

    Turn a title or any text into a clean, lowercase URL slug.

    mcp-tool

    {
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "text": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 1,
      "description": "Text to turn into a slug."
    },
    "separator": {
      "enum": [
        "-",
        "_"
      ],
      "type": "string",
      "default": "-",
      "description": "Word separator."
    }
  },
  "additionalProperties": false
}
    arguments 24 lines
  • word_count unknown never probed

    Count words, characters, sentences and paragraphs, estimate reading time and a Flesch reading-ease score.

    mcp-tool

    {
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "text": {
      "type": "string",
      "maxLength": 50000,
      "minLength": 1,
      "description": "Text to analyse."
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • case_convert unknown never probed

    Convert text to UPPER, lower, Title, Sentence, camel, Pascal, snake, kebab or CONSTANT case.

    mcp-tool

    {
  "type": "object",
  "required": [
    "text",
    "to"
  ],
  "properties": {
    "to": {
      "enum": [
        "upper",
        "lower",
        "title",
        "sentence",
        "camel",
        "pascal",
        "snake",
        "kebab",
        "constant"
      ],
      "type": "string",
      "description": "Target case."
    },
    "text": {
      "type": "string",
      "maxLength": 20000,
      "minLength": 1,
      "description": "Text to convert."
    }
  },
  "additionalProperties": false
}
    arguments 31 lines
  • json_format unknown never probed

    Validate JSON and return it pretty-printed or minified, or the parse error.

    mcp-tool

    {
  "type": "object",
  "required": [
    "json"
  ],
  "properties": {
    "json": {
      "type": "string",
      "maxLength": 50000,
      "minLength": 1,
      "description": "JSON text."
    },
    "mode": {
      "enum": [
        "pretty",
        "minify"
      ],
      "type": "string",
      "default": "pretty",
      "description": "Output style."
    },
    "indent": {
      "type": "integer",
      "default": 2,
      "maximum": 8,
      "minimum": 1,
      "description": "Spaces per indent level for pretty output."
    }
  },
  "additionalProperties": false
}
    arguments 31 lines
  • base64_codec unknown never probed

    Encode UTF-8 text to Base64 or decode Base64 back to text.

    mcp-tool

    {
  "type": "object",
  "required": [
    "text",
    "mode"
  ],
  "properties": {
    "mode": {
      "enum": [
        "encode",
        "decode"
      ],
      "type": "string",
      "description": "Direction."
    },
    "text": {
      "type": "string",
      "maxLength": 50000,
      "minLength": 1,
      "description": "Text to encode, or Base64 to decode."
    }
  },
  "additionalProperties": false
}
    arguments 24 lines
  • uuid_generate unknown never probed

    Generate random version 4 UUIDs.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "count": {
      "type": "integer",
      "default": 1,
      "maximum": 100,
      "minimum": 1,
      "description": "How many UUIDs."
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • lorem_ipsum unknown never probed

    Generate lorem ipsum placeholder text by paragraphs, sentences or words.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "unit": {
      "enum": [
        "paragraphs",
        "sentences",
        "words"
      ],
      "type": "string",
      "default": "paragraphs",
      "description": "Unit to count."
    },
    "count": {
      "type": "integer",
      "default": 3,
      "maximum": 50,
      "minimum": 1,
      "description": "How many units."
    }
  },
  "additionalProperties": false
}
    arguments 24 lines
  • qr_code unknown never probed

    Make a QR code for a URL or text. Returns an SVG string.

    mcp-tool

    {
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "size": {
      "type": "integer",
      "default": 512,
      "maximum": 1024,
      "minimum": 128,
      "description": "Width in pixels."
    },
    "text": {
      "type": "string",
      "maxLength": 1500,
      "minLength": 1,
      "description": "URL or text to encode."
    }
  },
  "additionalProperties": false
}
    arguments 22 lines
  • start_enquiry unknown never probed

    Start a project enquiry with Brand Bakery on behalf of the user. In a browser this fills in the visible enquiry form and the user reviews it and presses Send; nothing is sent for them. Through the server it is saved as unconfirmed, and a person at Brand Bakery reviews it before anyone replies. Needs the name of the person and a mobile number or an email; everything else is optional. Only use details the user gave you.

    mcp-tool

    {
  "type": "object",
  "required": [
    "name"
  ],
  "properties": {
    "name": {
      "type": "string",
      "maxLength": 100,
      "minLength": 2,
      "description": "The person's full name."
    },
    "email": {
      "type": "string",
      "format": "email",
      "maxLength": 254,
      "description": "Email address where Brand Bakery should reply. Give an email or a mobile number (or both)."
    },
    "phone": {
      "type": "string",
      "maxLength": 20,
      "description": "Indian mobile number, 10 digits starting 6 to 9, with or without +91, e.g. 98765 43210. Give a mobile number or an email (or both)."
    },
    "budget": {
      "enum": [
        "under-50k",
        "50k-1.5l",
        "1.5l-5l",
        "5l-plus",
        "not-sure"
      ],
      "type": "string",
      "description": "Budget band in Indian rupees: \"under-50k\" (Under ₹50k), \"50k-1.5l\" (₹50k to ₹1.5L), \"1.5l-5l\" (₹1.5L to ₹5L), \"5l-plus\" (₹5L+), \"not-sure\" (Not sure yet). Optional."
    },
    "message": {
      "type": "string",
      "maxLength": 4000,
      "description": "What the business does and what they want help with, in their own words. Optional, up to 4000 characters."
    },
    "service": {
      "type": "string",
      "pattern": "^[a-z0-9-]+$",
      "maxLength": 80,
      "minLength": 1,
      "description": "Slug of the service, practice or AI employee role they are asking about (see list_services), or \"other\". Optional."
    },
    "timeline": {
      "enum": [
        "asap",
        "within-1-month",
        "1-3-months",
        "3-plus-months",
        "flexible"
      ],
      "type": "string",
      "description": "When they want to start: \"asap\" (As soon as possible), \"within-1-month\" (Within a month), \"1-3-months\" (In 1 to 3 months), \"3-plus-months\" (In 3 months or more), \"flexible\" (Flexible, just exploring). Optional."
    },
    "sourcePage": {
      "type": "string",
      "maxLength": 200,
      "description": "Path of the page the enquiry starts from, e.g. /contact."
    },
    "whatsappOptIn": {
      "type": "boolean",
      "default": false,
      "description": "True only if the person agreed to be contacted on WhatsApp at the mobile number. Needs a mobile number. Default false."
    }
  },
  "additionalProperties": false
}
    arguments 70 lines
  • book_discovery_call unknown never probed

    Get the link to book a free 20-minute discovery call with the founder, with optional details to prefill. Opening and confirming the booking is up to the user.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "name": {
      "type": "string",
      "maxLength": 100,
      "description": "The person's name, to prefill."
    },
    "email": {
      "type": "string",
      "format": "email",
      "maxLength": 254,
      "description": "Their email, to prefill."
    },
    "topic": {
      "type": "string",
      "maxLength": 300,
      "description": "What they want to talk about."
    }
  },
  "additionalProperties": false
}
    arguments 23 lines
  • navigate unknown never probed

    Find a Brand Bakery page by name, e.g. "AI receptionist page", "website design", "Pure Prakriti case study" or "contact". Returns its URL; in a browser it also opens the page.

    mcp-tool

    {
  "type": "object",
  "required": [
    "page"
  ],
  "properties": {
    "page": {
      "type": "string",
      "maxLength": 120,
      "minLength": 1,
      "description": "Page name, topic or path."
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 59a7faaa9ff2e171.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/59a7faaa9ff2e171/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/59a7faaa9ff2e171/badge.svg)](https://brick.blue/agent/59a7faaa9ff2e171?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.