ref-tools-mcp
MCP serverSearchThe Ref MCP Server gives your coding agent token-efficient search across public and private documentation.
Unavailable. This server has no hosted endpoint yet, so ahel can't serve it.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this server
Token efficient search for coding agents over public and private documentation.
From the project's README
As published by ref-tools/ref-tools-mcp in README.md. This repository publishes several servers, so only the opening is shown here.
A ModelContextProtocol server that gives your AI coding tool or agent access to documentation for APIs, services, libraries etc. It's your one-stop-shop to keep your agent up-to-date on documentation in a fast and token-efficient way.
For more see info ref.tools
Agentic search for exactly the right context
Ref's tools are designed to match how models search while using as little context as possible to reduce context rot. The goal is to find exactly the context your coding agent needs to be successful while using minimum tokens.
Depending on the complexity of the prompt, LLM coding agents like Claude Code will typically do one or more searches and then choose a few resources to read in more depth.
For a simple query about Figma's Comment REST API it will make a couple calls to get exactly what it needs:
SEARCH 'Figma API post comment endpoint documentation' (54 tokens)
READ https://www.figma.com/developers/api#post-comments-endpoint (385 tokens)
Shortened here. Read the whole README on GitHub.
Signals
- GitHub stars
- 1k
- Forks
- 70
- Last commit
- Sep 2026
- Weekly downloads
- 1k
Advanced
- Delivery
- ref-tools-mcp MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-ref-tools-ref-tools-mcp- Source
- github.com/ref-tools/ref-tools-mcp