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
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- Smithery
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Toolrank from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.