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76
/100
B ◐ Assessed 43

graph-tool-call

When tool count exceeds LLM context limits, accuracy collapses (248 tools → 12%). graph-tool-call builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy to 82% with 79% fewer tokens. Zero dependencies. Also works as an MCP Proxy — aggregate multiple MCP servers behind 3 meta-tools.

python by SonAIengine ★ 3 Last commit: 4 weeks, 1 day ago
Assessed visibility — 4/3 applicable dimensions scored
✓ Schema Quality ✓ Protocol — Reliability ✓ Docs & Maintenance ✓ Security Hygiene — Schema Interpretability
Schema Quality
96
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
81
25% weight
Security Hygiene
92
33% weight
30-Day Trend

Score History

Category Trends

Static Analysis

Metric Score Rating
Schema Completeness 100 Good
Description Quality 90 Good
Documentation Coverage 77 Good
Maintenance Pulse 76 Good
Dependency Health 75 Good
License Clarity 100 Good
Version Hygiene 90 Good
Analyzed 4 weeks ago
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