agentrank-mcp-server

agentrank-mcp-server

Google PageRank for AI agents.

Install once and your AI automatically searches 25,000+ MCP servers and agent tools whenever it needs one. Scored daily from real GitHub signals. No configuration, no prompting — it just works.

Your AI's training data is months old. It can't tell you if a tool was abandoned last week, or that something better shipped yesterday. AgentRank gives it a live, ranked index so every recommendation is current.

Quick Start

Claude Code

claude mcp add agentrank -- npx -y agentrank-mcp-server

Cursor

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):

{
  "mcpServers": {
    "agentrank": {
      "command": "npx",
      "args": ["-y", "agentrank-mcp-server"]
    }
  }
}

Or copy with curl:

mkdir -p .cursor && curl -o .cursor/mcp.json https://raw.githubusercontent.com/superlowburn/agentrank/main/skill/agentrank/cursor/mcp.json

VS Code (1.99+)

Add to .vscode/mcp.json in your project:

{
  "inputs": [],
  "servers": {
    "agentrank": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "agentrank-mcp-server"]
    }
  }
}

Or copy with curl:

mkdir -p .vscode && curl -o .vscode/mcp.json https://raw.githubusercontent.com/superlowburn/agentrank/main/skill/agentrank/vscode/mcp.json

Cline

Open Cline in VS Code → MCP Servers → Configure MCP Servers and add:

{
  "mcpServers": {
    "agentrank": {
      "command": "npx",
      "args": ["-y", "agentrank-mcp-server"],
      "disabled": false,
      "autoApprove": ["search", "lookup", "get_badge_url"]
    }
  }
}

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "agentrank": {
      "command": "npx",
      "args": ["-y", "agentrank-mcp-server"]
    }
  }
}

Windsurf / other MCP clients

{
  "agentrank": {
    "command": "npx",
    "args": ["-y", "agentrank-mcp-server"]
  }
}

See agentrank-ai.com/integrations for full platform guides including rules files for non-MCP editors.

Tools

search

Search the index for MCP servers, tools, or skills by keyword.

Parameter	Type	Required	Description
query	string	yes	Search terms
type	"tool" | "skill"	no	Filter results
limit	number (1-50)	no	Max results (default 10)

lookup

Check if a specific GitHub repository is in the index.

Parameter	Type	Required	Description
github_url	string	yes	GitHub repo URL

get_badge_url

Get an embeddable badge for a tool or skill's AgentRank score.

Parameter	Type	Required	Description
slug	string	yes	Tool/skill slug
type	"tool" | "skill"	yes	Entry type

Why It Gets Better

Every agent that queries AgentRank makes the index smarter. More queries surface which tools developers actually reach for, which sharpens the rankings for everyone. The more people who install this, the better every recommendation gets — for you and every other developer whose AI uses it.

How It Works

Thin MCP wrapper over the AgentRank API. Proxies requests to the live index, so results always reflect the latest nightly crawl. No local database, no configuration, no API key.

Links

• AgentRank — Browse the index
• API Docs — Use the API directly
• GitHub — Source code