GitMem MCP Server - Token-Efficient Codebase Navigation for AI Agents
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# GitMem MCP (Manhattan) **Token-Efficient Codebase Navigation** - MCP Server for the Manhattan Memory System. [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) GitMem MCP is a local [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that provides AI agents (Claude Desktop, Cursor, Windsurf, etc.) with a **Virtual File System (VFS)** backed by compressed, cached code context. It allows agents to understand large codebases while saving 50-80% on tokens. ## Features - 🏗️ **GitMem Context** - Compressed semantic code skeletons (signatures, summaries, hierarchies). - 🔍 **Hybrid Search** - Semantic and keyword search across the entire codebase. - 📂 **VFS Navigation** - Browse and read files via token-efficient outlines and contexts. - 📝 **Auto-Indexing** - Automatically keeps the code index fresh after edits. - 📊 **Token Analytics** - Track token savings and repository indexing status. ## Installation ```bash pip install gitmem-mcp ``` ## Quick Start ### 1. Install GitMem MCP ```bash pip install gitmem-mcp ``` ### 2. Configure Your AI Client Setting up GitMem MCP is a two-step process: #### Step A: Register the Server (One-time) Add GitMem MCP to your AI tool's global settings. **Claude Desktop** Add to `claude_desktop_config.json`: ```json { "mcpServers": { "gitmem_mcp": { "command": "gitmem", "args": ["start"], "env": { "MANHATTAN_API_URL": "https://www.themanhattanproject.ai" } } } } ``` **Cursor** Add to Cursor Settings > MCP: - Name: `gitmem_mcp` - Type: `command` - Command: `gitmem start` - Env: - `MANHATTAN_API_URL`: `https://www.themanhattanproject.ai` **VS Code / GitHub Copilot** Add to `mcp.json` or your MCP settings: ```json { "servers": { "gitmem_mcp": { "command": "gitmem", "args": ["start"], …
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