Ref Tools MCP Server
API and library documentation access for AI agents to reduce context usage.
Data last scanned yesterday · Reviewed today
Overview
Ref Tools MCP Server provides AI coding agents with targeted access to documentation for APIs, services, and libraries. It uses agentic search patterns to minimize token consumption and combat context rot, enabling models to retrieve and read only the most relevant sections of documentation during a development session. The server features session-aware tracking to prevent duplicate search results and performs selective content fetching. By analyzing search history, it extracts and returns only the most pertinent portions of a document, rather than performing standard, unoptimized web scrapes.
Our verdict
With a security score of 53/100, this project is considered high risk. The security audit is limited, as both OAuth support and authentication methods have not yet been reviewed, and the read-only mode support is unverified. Because the project is community-maintained rather than vendor-official and lacks comprehensive security vetting, it should be used with caution and primarily in isolated environments by users comfortable managing third-party code risks.
- Minimizes context usage for improved token efficiency
- Small footprint with only 3 direct dependencies
- Maintains an active development cycle with recent commits
- High risk score due to unreviewed authentication and OAuth
- Read-only capabilities have not been editorially verified
- Community-maintained rather than supported by an official vendor
Compatibility
No compatibility data yet.
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