Raptr Names

io.github.kody-wv1.0.0Updated Oct 5, 2026

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Overview

AI-generated overview

Lets an assistant generate, validate, and run single-file AI agents from an idea or meeting transcript, and search a public agent registry.

What it does
The server supplies an official agent template and its rules, checks a finished agent file against those rules, and searches a public open agent registry. It can return a registry agent's source code and provide a runner so the assistant executes the agent in the chat on the user's data. It also explains how to run an agent locally on Mac, Windows, or Linux.
When to use it
Use it when you want an assistant to turn a rough idea or a meeting transcript into a working single-file agent, or to validate an agent file you already have. It also fits finding and reusing existing agents from the public registry instead of writing one from scratch.
Requirements
A remote streamable HTTP MCP endpoint; no package install, account, API key, or environment variable is declared. Network access to the endpoint is required.
Before you install
The runner tool executes a generated or registry agent in the chat on your data, so review what an agent does before running it. Generated code and registry agent source come from third parties and are not vouched for here. The endpoint is stateless and no credentials are declared.

Installation

In SourceWeft

  1. Open Raptr Names in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "raptr-names": {
      "type": "http",
      "url": "https://airaptr-api.azurewebsites.net/names/mcp"
    }
  }
}

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)

Develop

bash
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

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

Source: README.md at commit ec1544c

Tools

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Version history

1
  1. v1.0.0LatestOct 5, 2026