MCP server

whichlib

io.github.josifb/whichlib

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Dependency picker for coding agents: recommends, compares and scores GitHub repos with a verdict.

Working at last checkAbout 1,537 tokens per request once connected3 tools

https://whichlib.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 3
Token cost: About 1,537 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http whichlib https://whichlib.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.whichlib]
url = "https://whichlib.com/mcp"

Gemini CLI

{"mcpServers":{"whichlib":{"httpUrl":"https://whichlib.com/mcp"}}}

Cursor

{"mcpServers":{"whichlib":{"url":"https://whichlib.com/mcp"}}}

VS Code

{"servers":{"whichlib":{"type":"http","url":"https://whichlib.com/mcp"}}}

Antigravity

agy mcp add whichlib https://whichlib.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"whichlib","server_url":"https://whichlib.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"whichlib","server_url":"https://whichlib.com/mcp"}

compare_repos ~463 tokens
Compare 2-10 known GitHub repositories side by side, best score first: score and tier, stars, forks, open issues, last push, license, npm/PyPI weekly downloads (only when the registry links back to the repository) and a verdict. Each result has a 0-100 score (momentum 40% (stars gained per week; wit
recommend_repos ~470 tokens
Find the best open-source library for a need before adding a dependency. Give the need in plain words and get up to `limit` GitHub repositories ranked by fit = score x relevance to the need. Each result has a 0-100 score (momentum 40% (stars gained per week; without history, lifetime stars per week
trending_repos ~604 tokens
Discover projects: the most-starred GitHub repositories created in the last day, week or month, or with period "rising" repositories of any age that gained the most stars this week (like GitHub Trending; risingRank keeps that order). Optionally one language; each scored and returned sorted by score

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