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raghurammrsd

CodeGraph MCP

by raghurammrsd

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    • A
      license
      Not graded
      quality
      B
      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
      A
      maintenance
      Provides local-first repository architecture analysis with file-level proof, enabling agents to map codebases, locate implementations, trace call paths, and assess change impact with deterministic evidence.
      4 npm
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Indexes a codebase into a symbol-level graph and exposes tools for finding symbols, querying relationships, and assessing impact, letting AI coding agents answer structural questions in a single call within a token budget.
      90 npm
      4
      Apache 2.0
    • 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
    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables local-first codebase intelligence, allowing chat, search, and audit operations on any repository with file:line citations, and supports offline deterministic modes without an LLM.
      27 npm
      2
      MIT