A Model Context Protocol (MCP) server for PostgreSQL, acting as a super memory and task tracker for AI assistants.
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# Pg-Mnemosyne MCP [](https://pypi.org/project/pg-mnemosyne-mcp/) [](LICENSE) [](pyproject.toml) [](https://modelcontextprotocol.io) [](#setup) <p align="center"> <img src="https://raw.githubusercontent.com/Janadasroor/pg-mnemosyne-mcp/main/assets/mcp_power_banner.png" alt="Pg-Mnemosyne MCP Power Banner" width="100%"> </p> A Model Context Protocol (MCP) server that provides AI assistants with a robust "super memory", task tracker, and dynamic PostgreSQL database management capabilities. ## ⚡ Quick Start 1. **Install the package globally:** * **Windows**: ```cmd pip install pg-mnemosyne-mcp ``` * **macOS / Linux**: ```bash pipx install pg-mnemosyne-mcp ``` *(If you prefer standard pip or don't have `pipx`, run: `pip install pg-mnemosyne-mcp --break-system-packages`)* 2. **Auto-configure all your AI agents (Claude, Gemini, Qwen, Cursor, etc.) at once:** ```bash pg-mnemosyne init --dsn "postgresql://user:password@localhost:5432/postgres" ``` *(Be sure to replace `user` and `password` with your actual PostgreSQL username and database password!)* 3. **Restart your AI agents.** You're done! --- ## Features - **High-Performance**: Uses cached connection pooling (`asyncpg.create_pool`) for instant sub-millisecond database queries. - **Dynamic Projects**: The AI can create new databases for different projects on the fly. - **Dynamic Schema**: The AI can modify table schemas dynamically to adapt to changing memory needs. - **Standard Memory Tracker**: Built-in support for tracking, updating, and deleting…
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