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Agentoolrank MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Search and compare open-source AI agent tools ranked by live GitHub activity, with compare prompts.

About

Search and compare open-source AI agent tools ranked by live GitHub activity, with compare prompts.

Remote endpoints: streamable-http: https://agentoolrank.com/api/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

9 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "com-agentoolrank-agent-tools": {
      "url": "https://agentoolrank.com/api/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

AgentoolRank MCP server

MCP Badge

Search and compare open-source AI agent tools from your AI assistant, ranked by live GitHub activity.

AgentoolRank tracks hundreds of open-source AI agent tools (frameworks, coding agents, memory, RAG, evals, MCP servers) and ranks them by GitHub activity: stars, star pace, commits, releases and package downloads, refreshed daily. This repository documents how to connect to its hosted MCP server and JSON API. The server runs on agentoolrank.com; there is nothing to install or self-host.

  • MCP endpoint: https://agentoolrank.com/api/mcp (Streamable HTTP, no auth required)
  • Official MCP Registry: com.agentoolrank/agent-tools
  • Optional API key: one click, no signup, at agentoolrank.com/api-key. Send it as Authorization: Bearer <key> to identify your agent.

Tools

ToolWhat it does
search_tools(query, limit?)Find tools for a job, ranked by relevance then GitHub activity.
get_tool(slug)Stars, 30-day star growth, capabilities, limitations and who it is best for.
get_alternatives(slug)Open-source alternatives to a tool, with their GitHub stats.
submit_tool(url, name, tagline, email, …)List a tool. The response shows every pricing option up front, including the free one.
get_submission_status(submission_id, status_token)Review status of a submission.
recommend_directories(product_type)Launch directories our own products went through, with free-tier conditions and the steps only a person can do. The top 5 for each product type are free.
next_directory(key, product_type?)Submit Kit key (9): hands your agent the next directory that fits the product, one at a time (up to 50, at most 3 unreported).
report_result(key, domain, status, listing_url?)Submit Kit key: report what happened at a directory. Reports are leads; listing rates count only listings our own daily check verifies.
my_progress(key)Submit Kit key: every directory handed out so far and its reported status (also at agentoolrank.com/submit-kit/progress).

Prompts

Ready-made prompts your MCP client can offer (prompts/list, prompts/get):

PromptArgumentsWhat it does
compare_toolstool_a, tool_bCompares two tools side by side: GitHub stars, 30-day star growth, last release, downloads, best for, limitations
find_alternativestoolLists open-source alternatives to a tool, ranked by live GitHub activity
launch_planproduct_type (ai_tool, mcp_server, dev_tool, saas, other), optional product_urlPlans where to list a new product: which launch directories fit it and which to skip

Resources

URIContent
agentoolrank://aboutHow the ranking works and what this server offers (Markdown)
agentoolrank://top-toolsThe current top 20 open-source AI agent tools by GitHub activity, live (Markdown table)

Connect

Claude Code

claude mcp add --transport http agentoolrank https://agentoolrank.com/api/mcp

Cursor

Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project). See examples/cursor-mcp.json:

{
  "mcpServers": {
    "agentoolrank": { "url": "https://agentoolrank.com/api/mcp" }
  }
}

Claude Desktop

Add it under Settings → Connectors as a custom connector with the URL above. Or use the mcp-remote bridge in claude_desktop_config.json. See examples/claude_desktop_config.json.

Codex CLI

Add to ~/.codex/config.toml. See examples/codex-config.toml.

JSON API

The same data is also available without MCP. See examples/curl.sh.

GET  https://agentoolrank.com/api/v1/tools?q=rag&limit=10
GET  https://agentoolrank.com/api/v1/tools/{slug}
POST https://agentoolrank.com/api/v1/submissions

About

AgentoolRank is run by TENSO LLC. Questions or corrections: hello@agentoolrank.com. Privacy · Terms.

The contents of this repository (documentation and configuration examples) are MIT licensed. The AgentoolRank website, data and service are not part of this repository.

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