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8 clients · secrets stay placeholders

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{
  "mcpServers": {
    "raptr-agent-builder": {
      "type": "http",
      "url": "https://api.airaptr.com/mcp"
    }
  }
}

claude mcp add --transport http raptr-agent-builder https://api.airaptr.com/mcp

[mcp_servers.raptr-agent-builder]
url = "https://api.airaptr.com/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "raptr-agent-builder": {
      "type": "remote",
      "url": "https://api.airaptr.com/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "raptr-agent-builder": {
      "type": "http",
      "url": "https://api.airaptr.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=raptr-agent-builder&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYXBpLmFpcmFwdHIuY29tL21jcCJ9"
}

{
  "servers": {
    "raptr-agent-builder": {
      "type": "http",
      "url": "https://api.airaptr.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "raptr-agent-builder": {
      "httpUrl": "https://api.airaptr.com/mcp"
    }
  }
}

extensions:
  "raptr-agent-builder":
    enabled: true
    name: "raptr-agent-builder"
    type: streamable_http
    uri: "https://api.airaptr.com/mcp"
    timeout: 300

Quality 81 / 100new

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene86 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations9 of 9 tools declare readOnlyHint or destructiveHint
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_agent_template (idempotentHint); request_service (idempotentHint); use_agent_here (idempotentHint); …
pass
tools.token_costabout 1,308 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool history recorded for 4 of the 7 days needed

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

9 tools, about 1,308 tokens to load them all · tool set eb721b610603 · checked 2026-10-20 03:37 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 96 / 100

duplicate-repo

provenance100

liveness100

freshness100

hygiene80

+repository +namespace-matches-repo +dns-namespace +website +reachable +uptime-100% +updated-4d-ago -duplicate-repo(5 names)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://api.airaptr.com/mcp` streamable-http	none	yes	100%	357 ms	2025-06-18	2026-10-20

Tools (9)

`check_agent`read-only	Checks a finished agent file against the template rules (manifest, naming, class, perform method, no hardcoded secrets). Call it on every agent you write, fix anything it reports, and call it again until it passes.
`find_agents`read-only	Searches the open agent registry (about 1,700 single-file agents) for agents that already do what the user wants, for example when they ask 'is there an AI tool for...' or want a ready-made automation instead of building one. Use it before building from scratch, or when the user asks whether an agent exists for a task.
`get_agent_code`read-only	Returns the full source of one agent from the registry, by its name (e.g. @bill/neuron_agent), so it can be read or adapted.
`get_agent_template`read-only	Use this when the user wants to build an AI agent, assistant, bot or automation from an idea, a repetitive task, a process description, or a meeting transcript (for example: automate invoices, triage support tickets, summarize meetings, follow up with leads). Returns the official single-file agent template and its rules. Fill it in yourself from what the user described, then call check_agent on the finished file before showing it to the user. Then call use_agent_here so the user can use it right away in this chat.
`how_to_run_agent`read-only	Optional, for later: how to keep an agent running on the user's own computer with the free Brainstem. Only offer this after the user has used the agent in the chat and wants to keep it.
`rejection_rescue_preview`read-only	Use when the user pastes a rejection message from Apple App Review (it cites guidelines such as "Guideline 5.1.1(i)"). Free. Returns each cited guideline section it recognizes, with its title and what Apple means by it, and lists sections it does not know. The full version (likely causes, a fix list and a reply draft to App Review) is a separate paid HTTP call; the result says its price and route.
`request_service`	Use when the person wants something none of these tools can do and says yes to passing the request on. Records only the request text they agree to send (no name or contact). Ask before calling it.
`share_agent`read-only	Use only when the user says they want to share an agent they built. Checks the agent and scans it for personal details (emails, phone numbers, secrets), then explains how to publish it to the free open agent registry under their own GitHub account. Nothing is published by this tool.
`use_agent_here`read-only	Use this right after an agent passes check_agent, or whenever the user wants to try an agent. Returns a short Python runner so you can run the agent in this chat with your own Python tool on the user's own data (pasted text, an uploaded spreadsheet, a list). Nothing to install. If Python is unavailable, apply the agent's logic yourself by reading its code. Ask the user for their real data, run the agent, and show the result in plain words.

Schemas: list_tools.

Also listed as

4 other active names share this repository: com.airaptr/dogg-world-check, com.airaptr/raptr-agent-finder, com.airaptr/raptr-domains, com.airaptr/raptr-names

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Official server.json

{
  "name": "com.airaptr/raptr-agent-builder",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://api.airaptr.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.3.0",
  "repository": {
    "url": "https://github.com/airaptr/airaptr.github.io",
    "source": "github"
  },
  "websiteUrl": "https://airaptr.github.io/",
  "description": "Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away."
}