com.airaptr/raptr-agent-finder·Productivity

raptr-agent-finder

Find a free, ready-made AI agent for a task in the open agent registry (RAR).

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0
Version
1.0.0
License
—
Review
Passed
Source Website
Language
JavaScript
Last commit
1h ago
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Open issues
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Registry update
Oct 15, 2026

Connect

remote
Terminal
$claude mcp add --transport http raptr-agent-finder https://api.airaptr.com/finder/mcp

Headers

Nothing to configure — it works as is.

Security review

Review passed

Reviewed 59m ago.

tools
5 tools scanned
metadata
scanned

No findings.

Tools

5

  • find_agents

    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

    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.

  • use_agent_here

    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.

  • how_to_run_agent

    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.

  • 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.

README

airaptr/airaptr.github.io/README.md

Raptr Agent Builder (ChatGPT app)

A ChatGPT app that turns an idea or a meeting transcript into a working single-file agent. ChatGPT's own model writes the agent; this MCP server supplies the template, checks the result, searches the public open agent registry (RAR), and explains how to run the agent in the free Brainstem.

It sits on top of the ecosystem and never changes the Brainstem: it reads the public registry and points at the public installer.

  • MCP endpoint: https://airaptr-api.azurewebsites.net/mcp (streamable HTTP, stateless, JSON responses)
  • Site, privacy, terms: https://airaptr.github.io/

Tools

ToolWhat it does
get_agent_templateThe official template and its rules
check_agentChecks a finished agent file against the rules
find_agentsSearches the registry
get_agent_codeReturns one registry agent's source
use_agent_hereRunner so ChatGPT runs the agent in the chat on the user's data
how_to_run_agentOptional: keep it on your computer (Mac, Windows, Linux)
rejection_rescue_previewFree: explains the guideline sections an Apple App Review rejection cites

Store: GET /store.json is the catalog for agents. Rejection Rescue: free preview at POST /rescue/preview, the full diagnosis and reply draft at POST /x402/rescue (x402, X402_PRICE_RESCUE, default $0.50, testnet by default). Tests: node --test test/*.test.mjs.

Develop

node build_template.mjs ../RAR/template_agent.py   # refresh the embedded template
npx wrangler dev                                   # local server on :8787
node test/check_real_agents.mjs ../RAR             # checker vs. the template and every registry agent
test/mcp_smoke.sh http://localhost:8787            # drive the MCP endpoint
npx wrangler deploy                                # Cloudflare host
azure/deploy.sh                                    # or Azure Functions

Listing copy for the ChatGPT app directory is in SUBMISSION.md.

From the server's repository — third-party content, read it before running anything it suggests.

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Listing from the official MCP Registry · repository facts from GitHub, just now.