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MCP ConfigsApr 9, 2026·3 min de lectura

Codebase Memory MCP — Code Intelligence for AI Agents

High-performance code intelligence MCP server. Indexes repos in milliseconds via tree-sitter AST, supports 66 languages, sub-ms graph queries. MIT, 1,300+ stars.

Introducción

Codebase Memory MCP is the fastest code intelligence engine for AI coding agents, with 1,300+ GitHub stars. It full-indexes an average repository in milliseconds and can index the Linux kernel (28M lines, 75K files) in 3 minutes. Uses tree-sitter AST parsing across 66 languages with sub-millisecond graph queries. Best for developers using Claude Code, Cursor, or any MCP client who want their AI to deeply understand their codebase. Works with JavaScript, Python, Go, Rust, Java, C++, and 60+ more languages.

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Codebase Memory MCP — Full Code Intelligence Engine

How It Works

Codebase Memory MCP parses your entire codebase using tree-sitter AST grammars and builds a persistent knowledge graph stored in SQLite. AI agents query this graph via 14 MCP tools to understand code structure, trace dependencies, and find patterns.

Key Features

  • 66 language support — vendored tree-sitter grammars for JS, Python, Go, Rust, Java, C++, and more
  • Sub-millisecond queries — SQLite-backed graph with Cypher-like query support
  • 14 MCP tools — search, tracing, architecture analysis, dead code detection
  • 3D graph visualization — built-in UI to explore code relationships
  • Git diff impact mapping — understand how changes affect the codebase
  • Cross-service HTTP route linking — maps API routes across microservices
  • ADR management — Architecture Decision Records tracking
  • Background file watcher — auto-sync when files change
  • Single static binary — zero dependencies, just download and run

Performance Benchmarks

Codebase Files Lines Index Time
Average repo ~500 ~50K < 1 second
Large monorepo ~5,000 ~500K ~30 seconds
Linux kernel 75,000 28M ~3 minutes

MCP Tools Available

  1. search — find functions, classes, variables by name or pattern
  2. trace — follow call chains and dependency paths
  3. architecture — get high-level module overview
  4. dead-code — detect unused functions and imports
  5. impact — analyze which code is affected by a change
  6. routes — map HTTP endpoints across services
  7. And 8 more specialized analysis tools

Installation

Download the single binary from GitHub Releases:

# Download latest release (check GitHub for your platform)
curl -LO https://github.com/DeusData/codebase-memory-mcp/releases/latest/download/codebase-memory-mcp-linux-amd64
chmod +x codebase-memory-mcp-linux-amd64
mv codebase-memory-mcp-linux-amd64 /usr/local/bin/codebase-memory-mcp

FAQ

Q: What is Codebase Memory MCP? A: A high-performance MCP server that indexes your entire codebase into a queryable knowledge graph, giving AI agents deep code understanding with sub-millisecond response times.

Q: Is Codebase Memory MCP free? A: Yes, fully open-source under the MIT license.

Q: How many programming languages does it support? A: 66 languages via vendored tree-sitter grammars, covering all major languages including JavaScript, Python, Go, Rust, Java, C++, TypeScript, Ruby, and more.


🙏

Fuente y agradecimientos

Created by DeusData. Licensed under MIT.

codebase-memory-mcp — ⭐ 1,300+

Thanks to the DeusData team for building the fastest code intelligence engine for MCP.

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