AgentoolRank

AgentoolRank MCP server

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

Tool	What 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):

Prompt	Arguments	What it does
compare_tools	tool_a, tool_b	Compares two tools side by side: GitHub stars, 30-day star growth, last release, downloads, best for, limitations
find_alternatives	tool	Lists open-source alternatives to a tool, ranked by live GitHub activity
launch_plan	product_type (ai_tool, mcp_server, dev_tool, saas, other), optional product_url	Plans where to list a new product: which launch directories fit it and which to skip

Resources

URI	Content
agentoolrank://about	How the ranking works and what this server offers (Markdown)
agentoolrank://top-tools	The 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: [email protected]. 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.