codebase-memory-mcp: High-Performance Knowledge-Graph Code Intelligence via MCP

RepositoryDeusData/codebase-memory-mcpTool

codebase-memory-mcp is a pure C Model Context Protocol (MCP) server that indexes codebases into persistent knowledge graphs, providing AI coding agents with sub-millisecond structural search while dramatically reducing token consumption.

Key points

  1. Indexes average repositories in milliseconds and the entire Linux kernel (28M LOC) in 3 minutes.
  2. Sub-millisecond structural queries exposed via 15 MCP tools covering call chains, classes, and service routes.
  3. Written in pure C as a single native executable with zero language runtimes, API keys, or cloud dependencies.
  4. Employs tree-sitter AST parsing across 162 languages, paired with Hybrid LSP semantic type resolution for major stacks.
  5. Reduces LLM exploration overhead significantly: benchmarks report 10× fewer tokens and 2.1× fewer tool calls versus file-by-file exploration.

Why it matters

AI coding assistants frequently waste large context windows and multiple roundtrips inspecting raw files. Providing a fast, deterministic knowledge graph allows agents to pinpoint relationships instantly, cutting operational costs and response latency.

Analysis

By tackling the context-retrieval bottleneck with a zero-runtime C architecture, the project combines high execution speed with deep code intelligence (tree-sitter and LSP). Backed by more than 42,000 GitHub stars, 6,700 passing tests, SLSA 3 security compliance, and an arXiv research paper, codebase-memory-mcp demonstrates exceptional engineering quality and production maturity.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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