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

build-vault

https://mcp.buildaipod.com

Registry code: 47ae29a93c04d0f6

api record

AI product discovery from The Build AI Podcast vault (vault.buildaipod.com). Search insights, episodes, products and transcript segments with semantic search.

endpoint
https://mcp.buildaipod.com/mcp
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 build-vault live?
Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
Is build-vault free to use?
Yes — the hub reached it with no key and no payment.
What tools does build-vault have?
18 tools: insights_by_tool_category, insights_by_domain, search_by_category, fetch, search_by_date_range, search, find_similar_products, search_products, ….
Is build-vault 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
99.6%

90 days 99.7%· all time 99.7%

latency
566ms

last good check

priced tools
0

of 18 tools

_ answered our checks, 90 days 368 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • down → live
  • unknown → live
_ what it is for
topic
knowledge & reference datasets
used for
  • search ai podcast insights
  • find ai products mentioned in episodes
  • search podcast transcript segments
  • list podcast episodes
takes → gives
text → data, text
tools
18 reads
_ 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 18 tools
6 open 12 never probed 6 of 18 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.

  • list_products_catalog reads open 17h ago

    Browse the curated AI product catalog (approved products), most-mentioned first.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "page": {
      "type": "integer",
      "description": "Page number (default 1)",
      "exclusiveMinimum": 0
    },
    "limit": {
      "type": "integer",
      "maximum": 100,
      "description": "Number to return (default 25)",
      "exclusiveMinimum": 0
    },
    "category": {
      "type": "string",
      "description": "Filter by product category"
    }
  },
  "additionalProperties": false
}
    arguments 22 lines
  • search_by_timeframe reads open 17h ago

    Search insights within a within-episode timestamp range.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 100,
      "description": "Number to return (default 20)",
      "exclusiveMinimum": 0
    },
    "episode_id": {
      "type": "string",
      "description": "Optional episode ID to filter by"
    },
    "end_timestamp": {
      "type": "number",
      "description": "End timestamp (seconds)"
    },
    "start_timestamp": {
      "type": "number",
      "description": "Start timestamp (seconds)"
    }
  },
  "additionalProperties": false
}
    arguments 25 lines
  • list_episode_links reads open 3h ago

    List enriched links/resources referenced across episodes (Spotlight).

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 100,
      "description": "Number to return (default 50)",
      "exclusiveMinimum": 0
    },
    "category": {
      "enum": [
        "tool",
        "resource",
        "article",
        "other"
      ],
      "type": "string",
      "description": "Filter by link category"
    }
  },
  "additionalProperties": false
}
    arguments 23 lines
  • get_timeline_insights reads open 3h ago

    Get chronological insights across episodes (newest first).

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 100,
      "description": "Number to return (default 50)",
      "exclusiveMinimum": 0
    },
    "episode_id": {
      "type": "string",
      "description": "Optional episode ID to filter by"
    }
  },
  "additionalProperties": false
}
    arguments 17 lines
  • list_products reads open 17h ago

    List AI insights from vault.buildaipod.com with optional filtering.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 100,
      "description": "Number to return (max 100, default 20)",
      "exclusiveMinimum": 0
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Offset for pagination"
    },
    "episode_id": {
      "type": "string",
      "description": "Filter by episode ID"
    }
  },
  "additionalProperties": false
}
    arguments 22 lines
  • list_episodes reads open 3h ago

    List podcast episodes ordered by date with numbers, titles and metadata.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 100,
      "description": "Number to return (default 25, max 100)",
      "exclusiveMinimum": 0
    },
    "order": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "description": "'asc' oldest first, 'desc' newest first (default desc)"
    }
  },
  "additionalProperties": false
}
    arguments 21 lines
  • insights_by_tool_category reads unknown never probed

    Filter insights by tool category.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "tool_category"
  ],
  "properties": {
    "tool_category": {
      "type": "string",
      "minLength": 1,
      "description": "Tool category"
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • insights_by_domain reads unknown never probed

    Filter insights by technical domain and/or implementation difficulty (1-5).

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "domain": {
      "type": "string",
      "description": "Technical domain"
    },
    "difficulty": {
      "type": "integer",
      "maximum": 5,
      "minimum": 1,
      "description": "Implementation difficulty 1-5"
    }
  },
  "additionalProperties": false
}
    arguments 17 lines
  • search_by_category reads unknown 8h ago

    Search AI insights by category (frameworks, points_of_view, business_ideas, stories, quotes, products).

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "category"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 100,
      "description": "Number to return (default 20)",
      "exclusiveMinimum": 0
    },
    "category": {
      "type": "string",
      "minLength": 1,
      "description": "Category id (legacy aliases accepted)"
    }
  },
  "additionalProperties": false
}
    arguments 21 lines
  • fetch reads unknown 13h ago

    Retrieve complete content with full context and metadata for deep research and citation.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "minLength": 1,
      "description": "Content ID (insight)"
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • search_by_date_range reads unknown 5h ago

    Find AI insights from episodes published within a date range.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "start_date"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 100,
      "description": "Number to return (default 50)",
      "exclusiveMinimum": 0
    },
    "end_date": {
      "type": "string",
      "description": "End date (YYYY-MM-DD, optional)"
    },
    "start_date": {
      "type": "string",
      "description": "Start date (YYYY-MM-DD)"
    }
  },
  "additionalProperties": false
}
    arguments 24 lines
  • search reads unknown 8h ago

    Search AI insights, episodes and topics from the Build AI Pod vault for deep research.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "Natural language search query"
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • find_similar_products reads unknown 13h ago

    Find insights similar to a given insight using vector similarity.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "product_id"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 50,
      "description": "Number to return (default 5)",
      "exclusiveMinimum": 0
    },
    "product_id": {
      "type": "string",
      "minLength": 1,
      "description": "The reference insight ID"
    },
    "similarity_threshold": {
      "type": "number",
      "maximum": 1,
      "minimum": 0,
      "description": "Minimum similarity (0-1, default 0.7)"
    }
  },
  "additionalProperties": false
}
    arguments 27 lines
  • search_products reads unknown 13h ago

    Semantic search for AI insights using natural language.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 50,
      "description": "Results to return (max 50, default 10)",
      "exclusiveMinimum": 0
    },
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "Natural language search query"
    },
    "similarity_threshold": {
      "type": "number",
      "maximum": 1,
      "minimum": 0,
      "description": "Minimum similarity (0-1, default 0.7)"
    }
  },
  "additionalProperties": false
}
    arguments 27 lines
  • get_catalog_product reads unknown 10h ago

    Get detailed information about a product from the catalog by ID.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "product_id"
  ],
  "properties": {
    "product_id": {
      "type": "string",
      "minLength": 1,
      "description": "The product ID"
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • search_products_catalog reads unknown 10h ago

    Find products in the catalog by natural-language query (semantic when available).

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 50,
      "description": "Results (max 50, default 10)",
      "exclusiveMinimum": 0
    },
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "Natural language query"
    },
    "similarity_threshold": {
      "type": "number",
      "maximum": 1,
      "minimum": 0,
      "description": "Minimum similarity (0-1, default 0.7)"
    }
  },
  "additionalProperties": false
}
    arguments 27 lines
  • get_product_details reads unknown 10h ago

    Get detailed information about a specific AI insight by ID.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "product_id"
  ],
  "properties": {
    "product_id": {
      "type": "string",
      "minLength": 1,
      "description": "The insight ID"
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • search_segments reads unknown 8h ago

    Semantic search over podcast transcript segments.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 50,
      "description": "Results (max 50, default 10)",
      "exclusiveMinimum": 0
    },
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "Natural language query"
    },
    "similarity_threshold": {
      "type": "number",
      "maximum": 1,
      "minimum": 0,
      "description": "Minimum similarity (0-1, default 0.4)"
    }
  },
  "additionalProperties": false
}
    arguments 27 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 47ae29a93c04d0f6.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/47ae29a93c04d0f6/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/47ae29a93c04d0f6/badge.svg)](https://brick.blue/agent/47ae29a93c04d0f6?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.