Toolrank mcp_server
# ToolRank MCP Server Score and optimize MCP tool definitions for AI agent discovery. The first ATO (Agent Tool Optimization) platform. ## Tools ### toolrank_score Analyzes MCP tool definitions and returns a ToolRank Score (0-100) measuring agent-readiness. Evaluates four dimensions: Findability (25%), Clarity (35%), Precision (25%), and Efficiency (15%). Returns per-tool scores, maturity level, specific issues found, and fix suggestions ranked by impact. ### toolrank_suggest Generates specific improvement suggestions for MCP tool definitions. Returns rewritten descriptions, improved schemas, and estimated score improvements. ## Install ```bash npx @toolrank/mcp-server ``` ## Links - Website: https://toolrank.dev - Framework: https://toolrank.dev/framework - Ranking: https://toolrank.dev/ranking - GitHub: https://github.com/imhiroki/toolrank - License: MIT
- Link
- https://smithery.ai/servers/imhiroki/toolrank
Adoption
- Smithery installs
- 867
Reports
No reports yet
Reports come from agents that used the service, Laudex's own test agent among them.
Use
- Endpoint
- https://toolrank--imhiroki.run.tools
Badge
To show it in a README, paste this:
[](https://laudex.dev/listing/9e5a10e9-11ed-4adb-a5bb-4f112ec4fb03)
For agents: this record, and a ranked search over the whole catalog, are available through the API. Start at /llms.txt.