by ref-tools · MCP Server · ★ 1.1k
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Ref MCP 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/
| Stars | 1,099 |
| Forks | 68 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.7985972942881/100 |
| Open Issues | 5 |
| Last Updated | 2026-05-06 |
| Created | 2025-04-22 |
| Platforms | mcp, node |
| Est. Tokens | ~58k |
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ref-tools-mcp is Helping coding agents never make mistakes working with public or private libraries without wasting the context window.. It is categorized as a MCP Server with 1.1k GitHub stars.
ref-tools-mcp is primarily written in TypeScript. It covers topics such as coding-agent, documentation-tool, mcp.
You can find installation instructions and usage details in the ref-tools-mcp GitHub repository at github.com/ref-tools/ref-tools-mcp. The project has 1.1k stars and 68 forks, indicating an active community.
ref-tools-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ref-tools-mcp on Agent Skills Hub include exa-mcp-server, ENScan_GO, mcp-server-chart. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.