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DeusData/codebase-memory-mcp

by Various

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens.

D

MCP

DeusData/codebase-memory-mcp

Added 15 June 2026

#aider #ast #claude-code #code-analysis #code-intelligence #codex #cursor #cypher

Overview

High-performance code intelligence MCP server written in C. Indexes codebases into a persistent knowledge graph with sub-millisecond query times and support for 158 languages. Designed as a single static binary with zero dependencies, it reduces token usage by 99% when providing code context to language models.

Best for

Best for
Developers building AI-assisted coding tools that need fast, token-efficient codebase understanding

Use cases

  • Indexing a large monorepo for instant code search and navigation
  • Enabling LLMs to query code structure with minimal token overhead
  • Providing context-aware code intelligence to AI coding assistants

How to use

Tools exposed

  • index_repository
  • list_projects
  • delete_project
  • index_status
  • search_graph
  • trace_path
  • detect_changes
  • query_graph
  • get_graph_schema
  • get_code_snippet
  • get_architecture
  • search_code
  • manage_adr
  • ingest_traces
  • CBM_ALLOWED_ROOT
  • CBM_CACHE_DIR
  • CBM_DIAGNOSTICS
  • CBM_DOWNLOAD_URL
  • CBM_LOG_LEVEL
  • CBM_WORKERS

Tested with

Claude Code, VS Code

Notes

High-performance code intelligence MCP server written in C. Indexes codebases into a persistent knowledge graph with sub-millisecond query times and support for 158 languages. Designed as a single static binary with zero dependencies, it reduces token usage by 99% when providing code context to language models.

3,556 stars on GitHub. Last updated 2026-06-13. Licensed MIT.

Use cases

  • Indexing a large monorepo for instant code search and navigation
  • Enabling LLMs to query code structure with minimal token overhead
  • Providing context-aware code intelligence to AI coding assistants

Pros

  • Sub-millisecond query speeds even for large repositories
  • Broad language support covering 158 programming languages
  • Single static binary with zero external dependencies

Cons

  • Initial indexing of huge codebases may take time
  • Lacks dynamic analysis or runtime behavior tracking
  • No built-in graphical interface or advanced code review features

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Sub-millisecond query speeds even for large repositories
  • Broad language support covering 158 programming languages
  • Single static binary with zero external dependencies

Cons

  • Initial indexing of huge codebases may take time
  • Lacks dynamic analysis or runtime behavior tracking
  • No built-in graphical interface or advanced code review features
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