codebase-memory-mcp

codebase-memory-mcp

The fastest and most efficient code intelligence engine for AI coding agents. Full-indexes an average repository in milliseconds, the Linux kernel (28M LOC, 75K files) in 3 minutes. Answers structural queries in under 1ms. Ships as a single static binary — this package downloads and runs it automatically.

High-quality parsing through tree-sitter AST analysis across 159 languages — producing a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. 14 MCP tools. Zero dependencies. Plug and play across 11 coding agents.

Installation

npm install -g codebase-memory-mcp

The binary for your platform is downloaded automatically at install time. Then configure your coding agents:

codebase-memory-mcp install

Restart your agent. Say "Index this project" — done.

Why codebase-memory-mcp

• Extreme indexing speed — Linux kernel (28M LOC, 75K files) in 3 minutes. RAM-first pipeline with LZ4 compression and in-memory SQLite.
• Plug and play — single static binary for macOS (arm64/amd64), Linux (arm64/amd64), and Windows (amd64). No Docker, no runtime dependencies, no API keys.
• 159 languages — vendored tree-sitter grammars compiled into the binary. Nothing to install, nothing that breaks.
• 120x fewer tokens — 5 structural queries: ~3,400 tokens vs ~412,000 via file-by-file search.
• 11 agents, one command — install auto-detects Claude Code, Codex CLI, Gemini CLI, Zed, OpenCode, Antigravity, Aider, KiloCode, VS Code, OpenClaw, and Kiro.
• 14 MCP tools — search, trace, architecture, impact analysis, Cypher queries, dead code detection, cross-service HTTP linking, ADR management, and more.

Supported Platforms

OS	Architecture
macOS	arm64, amd64
Linux	arm64, amd64
Windows	amd64

Usage

codebase-memory-mcp install          # configure all detected coding agents
codebase-memory-mcp --version
codebase-memory-mcp --help
codebase-memory-mcp update           # update to latest release
codebase-memory-mcp uninstall        # remove agent configs

CLI Mode

Every MCP tool is also available directly from the command line:

codebase-memory-mcp cli index_repository '{"repo_path": "/path/to/repo"}'
codebase-memory-mcp cli search_graph '{"name_pattern": ".*Handler.*", "label": "Function"}'
codebase-memory-mcp cli trace_call_path '{"function_name": "main", "direction": "both"}'
codebase-memory-mcp cli get_architecture '{}'

MCP Tools

Category	Tools
Indexing	index_repository, list_projects, delete_project, index_status
Querying	search_graph, trace_call_path, detect_changes, query_graph
Analysis	get_architecture, get_graph_schema, get_code_snippet, search_code
Advanced	manage_adr, ingest_traces

Performance

Benchmarked on Apple M3 Pro:

Operation	Time
Linux kernel full index (28M LOC, 75K files)	3 min
Django full index	~6s
Cypher query	<1ms
Trace call path (depth=5)	<10ms

Full Documentation

See github.com/DeusData/codebase-memory-mcp for the full README including all MCP tools, configuration options, graph data model, and language support details.

License

MIT