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Related Servers

Alternatives to Verum

  • A
    license
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    A
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    MCP server that builds a dependency graph of your codebase, giving AI agents structural understanding to analyze impact, find context, and make safe modifications across languages and infrastructure.
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Related Servers

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    An MCP server that provides ultra-efficient code exploration through AST analysis, reducing LLM token usage by up to 95% while enabling instant call graph generation and dependency analysis for massive codebases.
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  • F
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    Universal MCP server that analyzes any codebase and provides structured context to AI assistants. Dynamic, accurate, and token-efficient.
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TDQS

A4.3/5.0

Scored across 13 tools

Disambiguation4/5

Each tool has a distinct scope: find/define/reference/caller/callee/impact layer by resolution confidence and traversal depth, while audit/audit_delta/dead_code/duplicates/perf_advice target different finding types. The only mild overlap is references_of vs callers_of and audit vs its sub-analyses, but descriptions draw explicit boundaries.

Naming Consistency3/5

There is a recognizable cluster of possessive-style names (definition_of, references_of, callers_of, callees_of, impact_of) and an audit/audit_delta pair, but the set mixes noun names (overview, endpoints, dead_code, duplicates), imperative verb_noun (find_symbol), and adjective-noun (perf_advice). The conventions are readable but not unified.

Tool Count5/5

Thirteen tools is within the well-scoped range and each covers a necessary analysis task without redundancy. The count supports a coherent workflow from orientation through navigation to audit.

Completeness5/5

The surface covers the full analysis workflow: repo overview, cross-language endpoint integrity, symbol lookup/definition/reference/caller/callee traversal, blast-radius impact, dead-code detection, full and delta audits, performance advice, and duplicate detection. No obvious dead-end or missing operation blocks the stated purpose.

Maintenance

ActivityMaintained
ResponsivenessNo issues