ToolRank

The PageRank for AI agent tools.

Score, optimize, and monitor how AI agents discover and select your MCP tools.

Score Your Tools → · Framework · Ranking · Blog

We scanned 4,162 MCP servers. Here's what we found.

73% of MCP servers are invisible to AI agents. They have no tool definitions, no descriptions, no schema. When an agent searches for tools, these servers don't exist.

Sources: arXiv 2602.14878, arXiv 2602.18914

What is ATO?

ATO (Agent Tool Optimization) is to the agent economy what SEO was to the search economy.

LLMO is Stage 1 of ATO — necessary but not sufficient.

Quick Start

Score in browser

toolrank.dev/score — paste your tool JSON or enter your Smithery server name.

Score via CLI

npx @toolrank/mcp-server

Score in Python

from toolrank_score import score_server, format_report

result = score_server("my-server", tools)
print(format_report(result))

ToolRank Score

0-100 metric across four dimensions:

Maturity Levels

Before and After

- "name": "get",
- "description": "gets data from the api"
+ "name": "search_repositories",
+ "description": "Searches for GitHub repositories matching a query.
+   Useful for finding open-source projects or checking if a repo exists.
+   Returns name, description, stars, language, and URL.",
+ "inputSchema": {
+   "type": "object",
+   "properties": {
+     "query": { "type": "string", "description": "Search query" },
+     "sort": { "type": "string", "enum": ["stars", "forks", "updated"] }
+   },
+   "required": ["query"]
+ }

Score: 52 → 96. Five minutes of work. 3.6x selection advantage.

Architecture

toolrank/
├── packages/
│   ├── scoring/           # Level A engine (Python, zero-cost)
│   │   ├── toolrank_score.py    # 14 checks across 4 dimensions
│   │   ├── level_c_score.py     # Claude AI scoring (Pro)
│   │   └── weights.json         # Auto-calibrated weights
│   ├── scanner/           # Ecosystem scanner
│   │   ├── scanner_v3.py        # Weekly full / daily diff
│   │   ├── calibrate.py         # Weight auto-adjustment
│   │   └── auto_blog.py         # Daily article generation
│   ├── web/               # Astro site (toolrank.dev)
│   ├── mcp-server/        # ToolRank MCP Server
│   └── badge-worker/      # Dynamic badge SVG (CF Workers)
└── .github/workflows/     # Automated pipelines

Ecosystem Rankings

Updated weekly. Full ranking →

Add Badge to Your README

[![ToolRank](https://toolrank.dev/badge/dominant.svg)](https://toolrank.dev/ranking)

Contributing

ToolRank is open source. The scoring logic is fully transparent and auditable.

• Report issues: GitHub Issues
• Scoring methodology: packages/scoring/toolrank_score.py
• Governance: GOVERNANCE.md · CHANGELOG.md
• ATO Framework: toolrank.dev/framework

⭐ Star this repo if you find ToolRank useful — it helps others discover it.

License

MIT

toolrank.dev · Built by @imhiroki

If SEO is about being found by search engines, ATO is about being used by AI agents.