mcpField
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raptr-agent-builder

raptr-agent-builder

Remote
kody-w.github.ioAI & Agents0Updated 2w ago

About raptr-agent-builder

raptr-agent-builder is a ChatGPT app for turning an idea or meeting transcript into a single-file AI agent. It provides a template, validates agent files, and can find and run agents from the public RAR registry.

Key features

  1. 01Generate an agent from an idea or transcript
  2. 02Provide the official agent template
  3. 03Check agent files against template rules
  4. 04Search RAR and retrieve agent source
  5. 05Run an agent in the ChatGPT conversation
  6. 06Explain local running options

Use cases

  1. 01Draft an agent from a meeting transcript
  2. 02Validate an agent file before use
  3. 03Find and run an existing RAR agent
  4. 04Learn how to run an agent on a computer

MCP support

The MCP server exposes tools for creating, checking, searching, retrieving, and running agents, along with local run guidance.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://airaptr-api.azurewebsites.net/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

9

This tool takes no parameters.

Details

From the project README

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.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.