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