# AgentRank

> Use this tool when you need to discover and evaluate high-quality MCP servers based on up-to-date metrics such as freshness, issue health, and community engagement. AgentRank provides a daily-updated live index with search and lookup tools, enabling agents to find production-ready servers with reliable composite quality scores. It solves the problem of identifying well-maintained and widely-adopted MCP servers, saving time and effort in the evaluation process.

Canonical page: https://skillsregistry.net/skills/gh-superlowburn-agentrank  
JSON: https://api.skillsregistry.net/v1/skills/gh-superlowburn-agentrank

## Description

Live index of 25,000+ MCP servers scored by freshness, issue health, dependents, stars, and contributors. Daily-updated rankings reflect current GitHub data, not just popularity. Provides search and lookup tools for discovering production-ready MCP servers with composite quality scores. Helps agents find tools based on actual maintenance and adoption signals.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-superlowburn-agentrank)
- **Repository:** <https://github.com/superlowburn/agentrank/tree/HEAD/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gh-superlowburn-agentrank"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-superlowburn-agentrank` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-superlowburn-agentrank/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt