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project-graph-mcp

by rnd-pro
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.2/5.0

    Scored across 19 tools

    Disambiguation5/5

    Each tool targets a distinct functional area: context provision, navigation, analysis, documentation, custom rules, testing, and caching. Even similar tools like get_skeleton and get_ai_context have clearly differentiated purposes (skeleton-only vs. full context), eliminating ambiguity.

    Naming Consistency3/5

    Tool names mix single-word domain identifiers (docs, compact, db, jsdoc, navigate, analyze, testing, filters) with snake_case verb phrases (get_focus_zone, invalidate_cache, set_custom_rule). While descriptive, the lack of a uniform verb_noun or noun_verb pattern across all tools makes naming slightly inconsistent.

    Tool Count4/5

    The 19 tools are slightly above the ideal 3-15 range, but the server's broad scope (code graph navigation, analysis, documentation, testing, custom rules, AI context) justifies the count. Each tool serves a clear purpose, and no tool feels redundant.

    Completeness5/5

    The tool set provides comprehensive coverage of codebase analysis and AI assistance: navigation, quality analysis, test tracking, documentation management, custom rules, and context generation. Minor gaps like a missing delete_custom_rule are workable and do not create dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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