Best for
- AI coding agents that need technical documentation lookup
- Teams seeking to reduce irrelevant documentation context and token usage
- Users who need access to public and authorized private documentation resources
The supplied materials describe Ref MCP as a token-efficient documentation search and URL-reading server for coding agents, supporting Streamable HTTP and legacy stdio with API-key authentication.
Strongest · Documentation 14/20 Weakest · Security and permissions 8/20
Static review · not runListed 2026-07-29
Read the FMRS scoring method →Runtime:Node.js · Hosted (no local runtime)
REF_API_KEY
API key for the Ref documentation search service; sign up at ref.tools to obtain one.
Streamable HTTP is recommended: connect to https://api.ref.tools/mcp and provide an API key. The legacy stdio option runs npx ref-tools-mcp@latest with the API key supplied through REF_API_KEY.
{"Ref":{"command":"npx","args":["ref-tools-mcp@latest"],"env":{"REF_API_KEY":"YOUR_API_KEY"}}}
Shown for Cursor. Other clients may use a different file or key (VS Code uses "servers") — the configurator below converts it.
{
"Ref": {
"command": "npx",
"args": [
"ref-tools-mcp@latest"
],
"env": {
"REF_API_KEY": "YOUR_API_KEY"
}
}
}
Goes in your project's .vscode/mcp.json (VS Code uses a "servers" key).
Check that ref_search_documentation and ref_read_url appear in your client's tool list, then ask the agent to search a simple API question; a search result with token counts and doc URLs confirms the connection.
Once connected, you can ask your AI assistant things like:
No matching tools
Listed from the project's documentation, not tested by this site.
Ref MCP is a Model Context Protocol server that gives AI coding tools and agents access to public and private documentation for APIs, services, and libraries. It filters repeated search results and returns the most relevant parts of pages using session search history to reduce context usage.
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Source revision f5feb829cc7b Data synced 2026-10-19 Read the FMRS scoring method