Is the ref-tools-mcp MCP server actively maintained?

The ref-tools-mcp MCP server was last committed 1mo ago and has 6 contributors. Issue health: 45% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

ref-tools-mcp MCP Server

Name: ref-tools/ref-tools-mcp
Rating: 4.0 (1 reviews)
Author: ref-tools

ref-tools/ref-tools-mcp

Score: 75.1 Rank #3095 MCP Server

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Helping coding agents never make mistakes working with public or private libraries without wasting the context window.

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claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

ref-tools/ref-tools-mcp is a TypeScript tool licensed under MIT. Helping coding agents never make mistakes working with public or private libraries without wasting the context window. Topics: coding-agent, documentation-tool, mcp, mcp-server.

Ranked #3095 out of 24846 indexed tools.

Has 1,180 GitHub stars.

Ecosystem

TypeScript MIT

coding-agentdocumentation-toolmcpmcp-server

Score Breakdown

Stars 15% 1,180

1,180 stars → well-known project

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 45%

9/20 issues closed → many open issues

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 71

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 40 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 11 open vs 9 closed issues — triaging stale issues improves health

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Markdown

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HTML

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HTML

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Details

Stars: 1,180
Forks: 71
Open Issues: 11
Closed Issues: 9
Contributors: 6
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:mcptopic:mcp-server

From the README

# Ref MCP

A [ModelContextProtocol](https://modelcontextprotocol.io) 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](https://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](https://research.trychroma.com/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 to

Read full README on GitHub →