A graph database and analysis tool for AI assistants via MCP
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# MCP Graph Engine A graph database for AI assistants via the Model Context Protocol. Build relationship graphs, run analysis algorithms, and visualize in real-time. <img alt="image" src="docs/assets/screenshot.png" /> ## Installation **Requirements:** Python 3.10+, MCP-compatible client (Claude Code, Claude Desktop, Cursor) ```bash pipx install mcp-graph-engine ``` Add to your MCP config: ```json { "mcpServers": { "graph-engine": { "command": "mcp-graph-engine" } } } ``` | Client | Config Location | |--------|-----------------| | Claude Code | `~/.mcp.json` or `.mcp.json` | | Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` | | Cursor | `.cursor/mcp.json` | Restart your client after adding the config. ## What You Can Do Just ask your AI assistant: - "Map out the dependencies in this codebase" - "Build a graph of the characters in this document" - "What's the most critical component?" - "Are there any circular dependencies?" - "Show me the path from X to Y" - "Visualize the graph" The AI handles the tool calls. You get a live visualization at `http://localhost:8765`. ## Features - **Analysis** - PageRank, cycle detection, shortest paths, connected components - **Visualization** - Live D3 force-directed graph in your browser - **Import/Export** - DOT, CSV, GraphML, JSON, Mermaid ## Configuration | Variable | Default | Description | |----------|---------|-------------| | `VIS_PORT` | `8765` | Visualization server port | | `VIS_HOST` | `localhost` | Visualization server host | | `VIS_ENABLED` | `true` | Enable/disable visualization | ## Notes - **Transient** - Graphs live in memory. Export to JSON for persistence. - **Fuzzy matching** - `pipx install mcp-graph-engine[embeddings]` for semantic node matching. ## License MIT
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