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codegraph-brain

by zaebee
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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.5/5.0

Scored across 15 tools

Disambiguation5/5

Each tool targets a distinct concern: ingestion, validation, symbol lookup, downward/upward traversal, structure, context, global metrics, drift, community detection, orphans, reachability, and motif analysis. Potentially overlapping traversal tools are explicitly cross-referenced in their descriptions, making selection unambiguous.

Naming Consistency4/5

All tools share the cgis_ prefix and snake_case, and most follow a verb_noun pattern (trace_flow, find_symbol, audit_reachability). A few noun-only names (overview, context, metrics, drift, fractal) deviate from the pattern, but the convention remains readable and predictable.

Tool Count5/5

15 tools is well within the ideal range and each tool earns its place across the code-graph analysis lifecycle. The count feels comprehensive without being bloated.

Completeness5/5

The surface covers the full workflow: ingest, validate, orient, navigate, inspect, analyze impact/flow, compute metrics, detect drift, suggest boundaries, find dead code, and audit reachability. No obvious gaps or dead ends for the stated purpose of code knowledge graph analysis.

Maintenance

ActivityNo data
ResponsivenessResponsive

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