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codegraph-mcp

by forsling

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to explore a repository by querying a pre-built structural knowledge graph of symbols and their relationships — definitions, callers, callees, blast radius, and file-level impact — instead of grepping and reading files. This cuts the tokens spent on code exploration by roughly 96–99% while running entirely on local SQLite with tree-sitter parsing.
      1
      MIT
    • F
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      quality
      C
      maintenance
      Provides persistent codebase memory and semantic context for AI agents via AST-aware chunking and symbol graph indexing.
      1
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables LLM agents to efficiently understand and navigate a codebase by providing semantic search over symbols and a reference graph, replacing expensive grep/glob calls with structured tools like definition lookup, caller/callee queries, and change-impact analysis.
      3
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI agents with causal code memory by indexing repositories into a graph of symbols and edges, enabling context-aware retrieval of relevant code slices.
      43 PyPI
      3
      MIT