com.airaptrPublished by airaptr.comOfficial publisherv1.0.0Updated Oct 24, 2026
Find a free, ready-made AI agent for a task in the open agent registry (RAR).
The publisher's own server: Dogg World Check
A remote MCP server that lets an assistant search a public registry of ready-made single-file AI agents, read their source, and run one in the chat.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.airaptr%2Fraptr-agent-finder/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"raptr-agent-finder": {
"type": "http",
"url": "https://api.airaptr.com/finder/mcp"
}
}
}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.
https://airaptr-api.azurewebsites.net/mcp (streamable HTTP, stateless, JSON responses)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.
Listing copy for the ChatGPT app directory is in SUBMISSION.md.
Source: README.md at commit f110430
Find existing 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.
limitqueryrequiredGet an agent's 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.
namerequiredUse the agent in this chat
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.
filenameKeep an agent running on your computer
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.
osfilenameAsk us to build something
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.
requestrequired90% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Declare a license in the repository or the registry entry.
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com.airaptrOfficial publisher
A remote MCP server that helps an assistant turn an idea or transcript into a single-file AI agent, check it, try it, and find existing agents in a public open.
node build_template.mjs ../RAR/template_agent.py # refresh the embedded templatenpx wrangler dev # local server on :8787node test/check_real_agents.mjs ../RAR # checker vs. the template and every registry agenttest/mcp_smoke.sh http://localhost:8787 # drive the MCP endpointnpx wrangler deploy # Cloudflare hostazure/deploy.sh # or Azure Functions