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jigneshsuvariya

Codebase Knowledge Graph MCP Server

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      Combines a knowledge graph with RAG (Retrieval-Augmented Generation) capabilities for semantic code indexing and search. Enables creating entity relationships, managing observations, and performing semantic searches across indexed codebases.
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    • A
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      Enables coding agents to query a local, versioned knowledge graph of a software project, retrieving overviews, context packs, evidence, and explanations to make informed changes.
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    • F
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      Enables developer agents to perform semantic codebase search, dependency and impact analysis, cross-file refactoring, and full-stack API tracing through a unified query DSL over a high-performance graph engine.
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    TDQS

    A3.6/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: creating, deleting, or querying entities, relations, or observations. No overlap between tools like create_entities and create_relations, or delete_entities and delete_observations.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_entities, delete_relations, search_nodes). No deviations or mixed conventions.

    Tool Count5/5

    With 9 tools, the server covers the essential operations for a knowledge graph: CRUD for entities, relations, and observations, plus graph-wide and search queries. The count is well-scoped without bloat.

    Completeness4/5

    The tool set provides create, read (via open_nodes, read_graph, search_nodes), and delete operations for all core elements. The update aspect is partially covered by add_observations and create_relations, but missing explicit update for entity or relation properties, which is a minor gap.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues