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

AptiBuild AI

https://mcp.aptibuildai.com

Registry code: 7854497fd8482e36

api record

AptiBuild AI career intelligence MCP server. Provides structured decision scaffolding for high-stakes career advice — personality-conditioned idea generation, official BLS OEWS wage data, real-time FRED labor market signals, and pre-built harnesses tuned to specific life stages (38–55 career pivots, 55+ encore careers, gig economy). 12 tools total. Recommended chain: infer_aptitude_profile (free-text bio → structured profile) → generate_app_ideas or generate_career_paths. For quick profession lookup: get_profession_profile (ideas + wages in one call). Authentication: X-API-Key header. One…

endpoint
https://mcp.aptibuildai.com/v1
protocol
http-sse ·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 AptiBuild AI live?
Yes — it answered the hub's last check (checked 1h ago). It answered 98% of checks over the last 30 days.
Is AptiBuild AI free to use?
Not anonymously — it refuses callers without credentials. The hub cannot see whether credentials cost anything.
What tools does AptiBuild AI have?
12 tools: get_app_ideas_by_industry, get_app_ideas_by_profession, get_occupation_wages, sample_career_pivot, get_profession_profile, lookup_occupation, get_career_pivot_harness, get_second_act_harness, ….
Is AptiBuild AI 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
98.1%

90 days 98.5%· all time 98.5%

latency
252ms

last good check

priced tools
0

of 12 tools

_ answered our checks, 90 days 409 checks · signed record
  • down → live
  • degraded → down· timeout after 20000ms
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· timeout after 20000ms
_ what it is for
topic
productivity & business hr & recruiting
used for
  • generate career path suggestions
  • get occupation wage data
  • infer an aptitude profile from a bio
  • generate app ideas for a profession
takes → gives
text, data → data
tools
12 reads
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts, and USDC settlements on base into the address this listing's priced doors name, read off the chain. Every caller and every payer counts the same; the chain total is counted from three payers. The address also stands behind 6 other origins: the chain figures are the gateway's, not this listing's alone. How it is counted.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

payers on base
1

distinct

settlements
1

last 2026-11-02

received on chain
0.01 USDC

counted from three payers (thin, concentrated, shared-payto)

_ what it can do 12 tools
3 auth-required3 closed 6 never probed 6 of 12 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.

  • get_career_pivot_harness reads auth-required 5d ago

    Call this first for mid-career professionals aged 38–55 considering a career change. Do NOT use for 55+ clients (use get_second_act_harness) or gig/freelance questions (use get_gig_economy_harness). Returns 5-section structured decision scaffolding: (1) pivot success and failure rates with real timelines, (2) transferable skill frameworks by pivot type, (3) high-success industry pairs from the AptiBuild corpus, (4) live FRED market signal URLs — treat these as pointers to fetch, not already-fetched data; do not invent numbers not present in the harness, (5) a 90-day action framework. This is context for the agent, not a final recommendation. After loading, call generate_career_paths with an aptitude profile for personalized paths. Can also combine with infer_aptitude_profile first if user input is unstructured. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "from_industry": {
      "type": "string",
      "description": "Current industry to contextualize the intelligence (optional — e.g. 'healthcare', 'finance', 'education'). If omitted, returns general pivot intelligence."
    }
  },
  "additionalProperties": false
}
    arguments 11 lines
  • get_second_act_harness reads auth-required 5d ago

    Call this first for professionals aged 55+ exploring encore careers or post-primary-career work. Do NOT use for mid-career pivots (use get_career_pivot_harness) or gig/freelance questions (use get_gig_economy_harness). Returns 5-section structured decision scaffolding: (1) how encore careers work across three types — by choice, by necessity, and gradual transition, (2) corrected economic positioning — BLS significantly undercounts senior independent compensation; do not cite BLS wage floors as senior income ceilings, (3) live FRED 55–64 and 65+ labor force participation URLs — treat as pointers to fetch, not already-fetched data, (4) fractional economy briefing with structure, buyers, pricing formulas, and pitch guidance, (5) curated AptiBuild ideas suited to 20+ years of accumulated expertise. This is context for the agent, not a final recommendation. After loading, call generate_career_paths or generate_app_ideas with an aptitude profile. Can combine with infer_aptitude_profile first if input is unstructured. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}
    arguments 5 lines
  • get_gig_economy_harness reads auth-required 5d ago

    Call this first for any client exploring freelancing, independent work, or solopreneur paths — regardless of age. Do NOT use for career pivots (use get_career_pivot_harness) or encore career planning for 55+ (use get_second_act_harness). Returns 5-section structured decision scaffolding: (1) live FRED market state — self-employed counts, quits rate, part-time breakdown as URL pointers; treat these as pointers to fetch, not already-fetched data; do not invent current market figures, (2) growing vs. commoditized gig categories, (3) the 1.5–2.5x earnings formula for pricing freelance work — accounts for SE tax, benefits gap, unbillable time, and expenses, with BLS wage anchors for common categories, (4) platform landscape by category, (5) 8 curated solopreneur ideas from the AptiBuild corpus. This is context for the agent, not a final recommendation. After loading, call generate_app_ideas with an aptitude profile for personalized ideas. Can combine with infer_aptitude_profile first if input is unstructured. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}
    arguments 5 lines
  • generate_app_ideas reads closed never probed

    Live AI generation — POST a structured aptitude profile and receive 4 custom AI-powered app and business ideas generated in real time by AptiBuild's AI engine. Unlike the static idea lookup tools, each response is unique to the submitted profile. Supports all 7 AptiBuild personality dimensions plus practical constraints — the richer the profile, the more targeted the output. NOTE: Live OpenAI call. Typical response time 5–15 seconds. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "skills",
    "industry"
  ],
  "properties": {
    "skills": {
      "type": "string",
      "description": "Comma-separated skills this person has (e.g. 'writing, project management, data analysis, public speaking')"
    },
    "industry": {
      "type": "string",
      "description": "Current or target industry (e.g. 'healthcare', 'education', 'finance', 'construction')"
    },
    "workStyle": {
      "enum": [
        "solo",
        "collaborative",
        "mixed"
      ],
      "type": "string",
      "description": "Preferred way of working"
    },
    "timeHorizon": {
      "enum": [
        "quick",
        "medium",
        "long"
      ],
      "type": "string",
      "description": "How quickly they want results — quick (0–6 months), medium (6–18 months), long (18+ months)"
    },
    "weeklyHours": {
      "type": "integer",
      "maximum": 40,
      "minimum": 1,
      "description": "Hours per week available to build this alongside other work"
    },
    "energySource": {
      "enum": [
        "introvert",
        "extrovert",
        "ambivert"
      ],
      "type": "string",
      "description": "How this person recharges"
    },
    "monthlyBudget": {
      "type": "number",
      "minimum": 0,
      "description": "Monthly budget in USD available for tools, hosting, marketing setup"
    },
    "riskTolerance": {
      "enum": [
        "low",
        "medium",
        "high"
      ],
      "type": "string",
      "description": "Comfort with financial and professional risk"
    },
    "thinkingStyle": {
      "enum": [
        "analytical",
        "creative",
        "practical",
        "strategic"
      ],
      "type": "string",
      "description": "How this person approaches problems"
    },
    "experienceLevel": {
      "enum": [
        "beginner",
        "intermediate",
        "expert"
      ],
      "type": "string",
      "description": "Overall technical and entrepreneurial experience level"
    },
    "primaryMotivators": {
      "type": "string",
      "description": "What drives this person (e.g. 'autonomy, helping others, financial security, creative expression')"
    },
    "visibilityPreference": {
      "enum": [
        "behind-scenes",
        "public-facing",
        "flexible"
      ],
      "type": "string",
      "description": "Whether this person wants to be the face of their work"
    }
  },
  "additionalProperties": false
}
    arguments 98 lines
  • infer_aptitude_profile reads closed never probed

    Reduces input friction for the generate tools. Pass a bio, resume snippet, LinkedIn summary, or any free-text professional description — returns a structured aptitude profile ready to pipe directly into generate_app_ideas or generate_career_paths. Eliminates manual schema construction. Recommended as the first step in any agent that receives unstructured user input before calling a generation endpoint. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "bio"
  ],
  "properties": {
    "bio": {
      "type": "string",
      "description": "Bio, resume excerpt, LinkedIn summary, or any free-text professional description. Min 10 characters, max 3000. Examples: '15-year ICU nurse, team lead, strong communicator, risk-averse, wants flexible income on weekends' or a full LinkedIn About section."
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • generate_career_paths reads closed never probed

    Live AI generation — POST a structured aptitude profile and receive 4 personalized career path suggestions. Returns role titles, transition paths, income potential, and why each path fits this person's specific personality and skills. Designed for career coaching agents, resume tools, and HR platforms. Same input schema as generate_app_ideas — same profile, two different lenses. NOTE: Live OpenAI call. Typical response time 5–15 seconds. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "skills",
    "industry"
  ],
  "properties": {
    "skills": {
      "type": "string",
      "description": "Comma-separated skills (e.g. 'teaching, curriculum design, leadership, communication')"
    },
    "industry": {
      "type": "string",
      "description": "Current industry or professional context"
    },
    "workStyle": {
      "enum": [
        "solo",
        "collaborative",
        "mixed"
      ],
      "type": "string",
      "description": "Preferred way of working"
    },
    "experience": {
      "type": "string",
      "description": "Years and type of experience (e.g. '15 years middle school educator', '8 years in hospital administration')"
    },
    "timeHorizon": {
      "enum": [
        "quick",
        "medium",
        "long"
      ],
      "type": "string",
      "description": "How quickly they want results — quick (0–6 months), medium (6–18 months), long (18+ months)"
    },
    "weeklyHours": {
      "type": "integer",
      "maximum": 40,
      "minimum": 1,
      "description": "Hours per week available for career transition work"
    },
    "energySource": {
      "enum": [
        "introvert",
        "extrovert",
        "ambivert"
      ],
      "type": "string",
      "description": "How this person recharges"
    },
    "monthlyBudget": {
      "type": "number",
      "minimum": 0,
      "description": "Monthly budget in USD for tools, training, or setup costs"
    },
    "riskTolerance": {
      "enum": [
        "low",
        "medium",
        "high"
      ],
      "type": "string",
      "description": "Comfort with financial and professional risk"
    },
    "thinkingStyle": {
      "enum": [
        "analytical",
        "creative",
        "practical",
        "strategic"
      ],
      "type": "string",
      "description": "How this person approaches problems"
    },
    "experienceLevel": {
      "enum": [
        "beginner",
        "intermediate",
        "expert"
      ],
      "type": "string",
      "description": "Overall professional experience level"
    },
    "primaryMotivators": {
      "type": "string",
      "description": "What drives this person (e.g. 'autonomy, helping others, financial security, creative expression')"
    },
    "visibilityPreference": {
      "enum": [
        "behind-scenes",
        "public-facing",
        "flexible"
      ],
      "type": "string",
      "description": "Whether this person wants to be the face of their work"
    }
  },
  "additionalProperties": false
}
    arguments 102 lines
  • get_app_ideas_by_industry reads unknown 4d ago

    Returns up to 25 AI-generated app and business ideas for a given industry. Each idea includes title, description, difficulty, time to revenue, revenue range, competition level, and market opportunity. Sourced from real AptiBuild AI user profiles. Ideal for market research agents and side-hustle recommenders. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "industry"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 25,
      "minimum": 1,
      "description": "Max results to return (default 10, max 25)"
    },
    "industry": {
      "type": "string",
      "description": "Industry to get ideas for (e.g. 'healthcare', 'education', 'real estate', 'finance', 'fitness')"
    }
  },
  "additionalProperties": false
}
    arguments 20 lines
  • get_app_ideas_by_profession reads unknown 4d ago

    Returns up to 25 AI-generated app and business ideas matched to a specific profession or job title. Each idea connects to real skills people in that role already have — no generic results. Sourced from real AptiBuild AI user profiles. Ideal for career coaching agents. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "profession"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 25,
      "minimum": 1,
      "description": "Max results to return (default 10, max 25)"
    },
    "profession": {
      "type": "string",
      "description": "Profession or job title (e.g. 'registered nurse', 'high school teacher', 'accountant', 'real estate agent', 'software engineer')"
    }
  },
  "additionalProperties": false
}
    arguments 20 lines
  • get_occupation_wages reads unknown 4d ago

    Returns official BLS OEWS 2024 wage data for a specific occupation code: median annual wage, median hourly wage, total employment count, and percentile wage breakdown (10th, 25th, 75th, 90th percentiles). Authoritative government data — not estimated. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "occ_code"
  ],
  "properties": {
    "occ_code": {
      "type": "string",
      "description": "BLS occupation code (e.g. '29-1141' for registered nurses, '25-2021' for elementary school teachers). Use lookup_occupation first to find the code for a job title."
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • sample_career_pivot reads unknown 4d ago

    Free trial — 10 calls included, no API key needed. Returns the Transferable Skills Framework section from the Career Pivot Harness for any profession. Demonstrates the data quality and structure before subscribing. This is 1 of 5 sections from the full harness. Full 5-section analysis ($39/month API key) covers pivot landscape, skill frameworks, high-success industry pairs, live FRED market signals, and a 90-day action framework.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "profession"
  ],
  "properties": {
    "profession": {
      "type": "string",
      "description": "The profession or job title to get career pivot intelligence for (e.g. 'registered nurse', 'high school teacher', 'accountant', 'software engineer')"
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • get_profession_profile reads unknown 4d ago

    Combined profession profile: returns both AI-generated app and business ideas AND official BLS wage data for a profession in a single response. Saves a round trip for agents that need both ideas and income context together. Ideal for career counseling, market-sizing, and side-hustle recommendation agents. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "profession"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 25,
      "minimum": 1,
      "description": "Max idea results to return (default 10)"
    },
    "profession": {
      "type": "string",
      "description": "Profession or job title (e.g. 'physical therapist', 'marketing manager', 'electrician')"
    }
  },
  "additionalProperties": false
}
    arguments 20 lines
  • lookup_occupation reads unknown 4d ago

    Looks up official BLS occupation data for a given job title. Returns the matching BLS occupation code, standardized title, and occupational category. Use this to validate or standardize profession names before calling get_occupation_wages or get_profession_profile. Requires API key.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "title"
  ],
  "properties": {
    "title": {
      "type": "string",
      "description": "Job title to look up (e.g. 'registered nurse', 'software developer', 'high school teacher', 'marketing manager')"
    }
  },
  "additionalProperties": false
}
    arguments 14 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 7854497fd8482e36.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/7854497fd8482e36/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

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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
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settled without a human
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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.