Toolrank
# 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
Smithery
Score History
Category Trends
30-Day Uptime
Latest Health Check
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 100 | Good |
| Description Quality | 90 | Good |
| Documentation Coverage | 47 | Fair |
| Maintenance Pulse | 45 | Fair |
| Dependency Health | 20 | Poor |
| License Clarity | — | Poor |
| Version Hygiene | 35 | Poor |
Protocol Compliance
Add this to your README to display your MCP Scoreboard grade:
