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AgentRank

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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.

npm version npm downloads GitHub stars License: MIT Last commit

Install in 3 Steps

1. Add to your AI tool:

# 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 →

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

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

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

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Resources

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