mcp-memgraph
Memgraph MCP Server is designed to connect Memgraph with large language models using the Model Context Protocol (MCP). Its purpose is to facilitate seamless integration into AI workflows and enable advanced database interactions.
What is the Memgraph MCP Server?
It is a lightweight server implementation of the Model Context Protocol designed to connect Memgraph with LLMs.
How do I run the Memgraph MCP Server?
Install 'uv', create a virtual environment, install dependencies, and run the server using 'uv run server.py'.
What is the purpose of the Memgraph MCP Server?
The server facilitates integration between Memgraph and AI workflows, allowing users to run queries and retrieve schema information.
Is there a plan to support JavaScript environments?
Yes, a TypeScript version of the server is planned to better support JavaScript-based environments.
Where can I find the Memgraph MCP Server in the future?
The project is being migrated to the Memgraph AI Toolkit repository for centralized development and integration.