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URL: https://glama.ai/mcp/servers/superlowburn/agentrank

โ‡ฑ AgentRank by superlowburn | Glama


AgentRank

Google PageRank for AI agents. A live, daily-updated index of 25,000+ MCP servers and agent tools โ€” scored by real GitHub signals, not just star counts.

๐Ÿ‘ npm version
๐Ÿ‘ npm downloads
๐Ÿ‘ GitHub stars
๐Ÿ‘ License: MIT
๐Ÿ‘ 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 โ€” 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 โ†’


Why AgentRank?

  • Your AI's knowledge is stale. Training data is months old โ€” 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 โ€” 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 โ˜… 2.1k Updated: 2d ago
2. mcp-server-postgres Score: 84 โ˜… 891 Updated: 5d ago
3. pg-mcp Score: 71 โ˜… 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 โ€” finds and indexes repos nightly
scorer/ Scoring engine โ€” 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 โ€” stale repos decay fast

Issue health

25%

Closed / total issues โ€” maintainer responsiveness

Dependents

25%

Repos that depend on this โ€” real-world adoption

Stars

15%

Raw popularity signal

Contributors

10%

Bus factor โ€” solo projects score lower

Scores are recomputed nightly from live GitHub data.


MIT License ยท Built by @comforteagle

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

โ€“Maintainers
โ€“Response time
โ€“Release cycle
1Releases (12mo)

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/superlowburn/agentrank'

If you have feedback or need assistance with the MCP directory API, please join our Discord server