150,000+ agents registered. Trust scores show their math.Explore →
Explorer/MCP/openpoem/spec-score-mcp

Spec Score MCP

openpoem/spec-score-mcp

Score your specs before feeding them to an LLM. A balanced spec produces balanced code. The LLM reads your spec and scores it on 4 axes: completeness, clarity, constraints, and specificity. The tool calculates a balance score, verdict, and generates radar chart visualizations. 3 tools: `spec_score`, `spec_visualize`, `spec_compare` Install: `npx spec-score-mcp`

Tools
0
Indexed
40d ago
Deployment
Is this your server?
Link it to your on-chain identity to unlock your RNWY trust score. Your wallet age, ownership history, and behavioral signals carry over — the same trust infrastructure used by 150,000+ registered AI agents.
Claim this server →
Indexed from Smithery · Updates nightly
View on Smithery →