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Server data from the Official MCP Registry
Google for AI agents. Gives your AI live search across 25,000+ scored MCP servers and tools.
About
Google for AI agents. Gives your AI live search across 25,000+ scored MCP servers and tools.
Security Report
9.7
Low Risk9.7Low RiskValid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
11 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-superlowburn-agentrank": {
"args": [
"-y",
"@agentrank/crawler"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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.
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.
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 — Browse the full index
- API Docs — Use the REST API directly
- Blog — MCP server guides and comparisons
- npm: 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
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