agentrank

# AgentRank **Google PageRank for AI agents.** A live, daily-updated index of 25,000+ MCP servers and agent tools — scored by real GitHub signals, not just star counts. [](https://www.npmjs.com/package/agentrank-mcp-server) [](https://www.npmjs.com/package/agentrank-mcp-server) [](https://github.com/superlowburn/agentrank/stargazers) [](https://opensource.org/licenses/MIT) [](https://github.com/superlowburn/agentrank/commits/main) --- ## Install in 3 Steps **1. Add to your AI tool:** ```bash # Claude Code claude mcp add agentrank -- npx -y agentrank-mcp-server ``` **2. Ask your AI to find a tool:** > "Find me an MCP server for database access" **3. Get ranked, current results — automatically.** That's it. No API key, no config, no prompting. Your AI searches the live index whenever it needs a tool. > [Cursor, VS Code, Cline, Claude Desktop, Windsurf →](https://agentrank-ai.com/integrations/?utm_source=github&utm_medium=readme) --- ## Why AgentRank? - **Your AI's knowledge is stale.** Training data is months old — it can't know if a tool was abandoned last week or if something better shipped yesterday. - **Stars lie.** A repo with 2,000 stars and no commits in 18 months isn't production-ready. AgentRank weighs freshness, issue health, and dependents — not just popularity. - **25,000+ tools, scored daily.** The index crawls GitHub nightly. Every recommendation reflects what's happening now. - **Gets smarter with use.** Every query surfaces which tools developers actually reach for, sharpening rankings for everyone. --- ## Demo ``` > search("postgres mcp server") 1. postgres-mcp Score: 91 ★ 2.1k Updated: 2d ago 2. mcp-server-postgres Score: 84 ★ 891 Updated: 5d ago 3. pg-mcp Score: 71 ★ 432 Updated: 12d ago ``` ``` > lookup("github.com/modelcontextprotocol/servers") { "name": "modelcontextprotocol/servers", "agentrank_score": 97, "stars": 14200, "last_commit": "1 day ago", "dependents": 1840, "issue_health": 0.91 } ``` --- ## Links - [agentrank-ai.com](https://agentrank-ai.com/?utm_source=github&utm_medium=readme) — Browse the full index - [API Docs](https://agentrank-ai.com/api-docs/?utm_source=github&utm_medium=readme) — Use the REST API directly - [Blog](https://agentrank-ai.com/blog/?utm_source=github&utm_medium=readme) — MCP server guides and comparisons - [npm: agentrank-mcp-server](https://www.npmjs.com/package/agentrank-mcp-server) — The MCP server package --- ## Repo Structure ``` crawler/ GitHub crawler — finds and indexes repos nightly scorer/ Scoring engine — 5-signal composite score (0-100) mcp-server/ MCP server package published to npm workers/ Cloudflare Workers API site/ Astro frontend (agentrank-ai.com) ``` --- ## How the Score Works Five signals, weighted by signal quality: | Signal | Weight | What it measures | |--------|--------|-----------------| | Freshness | 25% | Days since last commit — stale repos decay fast | | Issue health | 25% | Closed / total issues — maintainer responsiveness | | Dependents | 25% | Repos that depend on this — real-world adoption | | Stars | 15% | Raw popularity signal | | Contributors | 10% | Bus factor — solo projects score lower | Scores are recomputed nightly from live GitHub data. --- MIT License · Built by [@comforteagle](https://x.com/comforteagle)