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jitendrakumar-ai

code-context-mcp

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      quality
      A
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      Enables AI coding agents to retrieve bounded, focused context from a local structural code graph, including source entities, Git relationships, and recorded project memory. It supports exploring structure, inspecting callers, callees, and impact, and carrying prior mistakes into later sessions without reading full files.
      9 npm
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    • A
      license
      A
      quality
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      Provides coding agents with repository-aware tools to understand code structure, find existing patterns, and review plans, architecture, and diffs, enabling a consistent engineering workflow across Cursor, Codex, and Claude Code.
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to query a local structural code graph, inspect code relationships and recorded mistakes, and retrieve focused project context before reading entire files.
      9 npm
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    • A
      license
      A
      quality
      B
      maintenance
      Self-hosted semantic code search for AI coding agents. Indexes many repositories at once with tree-sitter AST chunking, local llama.cpp embeddings and Qdrant, so Claude Code, Cursor, Codex and any MCP client can find code by meaning, trace usages and callers, and read the git history behind each chunk. No API keys, and your code never leaves your machine.
      2
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