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rtfmbro-mcp

@marckrenn

Repository

About rtfmbro-mcp

rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7

#agent#documentation#docs#mcp#claude#agentic-ai#mcp-server#context7

Basic information

Category

Other

License

MIT

Transports

stdio

Publisher

marckrenn

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "rtfmbro": {
      "type": "http",
      "url": "https://rtfmbro.smolosoft.dev/mcp/"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is rtfmbro-mcp?

rtfmbro-mcp is a Model Context Protocol (MCP) server that fetches version-specific package documentation from GitHub repositories in real time. It integrates with AI coding assistants to provide always‑up‑to‑date documentation for Python (PyPI) and Node.js (npm) packages, with Swift (SPM) in alpha and a GitHub fallback. It is an alternative to context7.

How to use rtfmbro-mcp?

Add the server to your MCP configuration using the HTTP URL https://rtfmbro.smolosoft.dev/mcp/. Optionally copy the provided meta-instruction file for your agent—e.g., .github/copilot-instructions.md for GitHub Copilot or CLAUDE.md for Claude Code—to your project root. Once configured, AI agents can call four tools: get_readme, get_documentation_tree, read_files, and search_github_repositories.

Key features of rtfmbro-mcp

  • Fetches docs from the exact git tag matching your package version
  • Supports Python (PyPI) and Node.js (npm) fully
  • SHA‑based caching with automatic invalidation on new commits
  • Four primary MCP tools for reading docs and searching repos
  • Agent integration via project‑root instruction files (Copilot, Claude, Cursor)
  • Zero setup for developers—just add the server config and start fetching

Use cases of rtfmbro-mcp

  • Getting version‑precise documentation for legacy projects pinned to an old release
  • Providing AI agents with fresh docs for brand‑new packages not in training data
  • Replacing inefficient manual browsing of node_modules or local source code
  • Speeding up code generation by supplying high‑level docs as context

FAQ from rtfmbro-mcp

What package ecosystems does rtfmbro-mcp support?

Python (PyPI) and Node.js (npm) have full support; Swift (SPM) is in alpha. A GitHub fallback is also available.

How does rtfmbro-mcp ensure documentation is up-to

Comments

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