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. This npm wrapper downloads, verifies, and caches the selected native runtime set: the executable, its authenticated integration asset, and—when requested—the content-addressed UI pack.

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. No hosted service or API key; this package requires Node.js to manage and launch the cached native runtime set. Plug and play across 43 automatic/conditional client surfaces.

Installation

npm install -g codebase-memory-mcp

The standard runtime set for your platform is downloaded automatically at install time. To select the UI runtime set and its verified frontend pack, set CBM_VARIANT=ui while installing and when invoking the wrapper:

CBM_VARIANT=ui npm install -g codebase-memory-mcp

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 — verified native runtime sets for macOS (arm64/amd64), Linux (arm64/amd64), and Windows (arm64/amd64). No Docker or API keys; Node.js owns package download, cache repair, and launch.
• 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.
• 43 supported automatic/conditional client surfaces — install configures the appropriate MCP, durable-context, and documented hook surfaces without widening client permissions.
• Detected automatically (37) — Claude Code, Codex CLI, Gemini CLI, Zed, OpenCode, Antigravity, Aider, KiloCode, VS Code, Cursor, Windsurf, Augment / Auggie, OpenClaw, Kiro, Junie, Hermes, OpenHands, Cline, Warp, Qwen Code, GitHub Copilot CLI, Factory Droid, Crush, Goose, Mistral Vibe, Qoder CLI, Kimi Code CLI, GitLab Duo CLI, Rovo Dev CLI, Amp, Devin CLI / Local, Tabnine, Amazon Q Developer IDE, CodeBuddy Code CLI, IBM Bob Shell, Pochi, and Pi.
• Conditional or explicit (6) — Continue / cn, Visual Studio, TRAE, Roo Code, IBM Bob IDE, and Sourcegraph Cody. Bob IDE is touched only when ~/.bob/mcp.json already exists.
• New documented adapters — CodeBuddy uses ~/.codebuddy/.mcp.json while preserving active older files; Bob Shell uses ~/.bob/mcp_settings.json; Pochi uses the mcp section in ~/.pochi/config.jsonc; Amazon Q Developer IDE defaults to ~/.aws/amazonq/default.json while preserving either documented alternative.
• Lifecycle hooks stay conservative — Kimi uses UserPromptSubmit; on macOS/Linux, GitLab Duo gets a fail-open user SessionStart, while Devin gets UserPromptSubmit, PostCompaction, and a deduplicated SessionStart when Claude does not already provide it. Qoder, GitLab Duo, Devin, and Factory hooks are withheld on Windows without a documented shell/executor contract. Cline's auto-activating file hooks are withheld because their context output is not reliably consumed, CodeBuddy beta hooks are not auto-installed, and Cursor context hooks remain withheld.
• Subagent access is explicit — Claude, Gemini, Kiro, Qwen, CodeBuddy, KiloCode, Mistral Vibe, Qoder, Junie, and Factory get documented graph profiles with the narrowest tool/server filters their schemas support. KiloCode and Vibe enumerate read-only query tools rather than using server wildcards. Cursor, Rovo, Pochi, and Cline use explicit parent handoff where child MCP is unavailable or unsafe; IBM Bob receives no invented hook or agent.
• Manual, UI, cloud, or repository-managed (not counted) — Qodo, Warp MCP, JetBrains AI/ACP, GitHub Copilot coding agent, Jules, CodeRabbit, Replit, BLACKBOX AI, Plandex, and SWE-agent. Warp is counted above for its detected skill installation; its MCP connection remains manual.
• 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	arm64, 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