mcp-memgraph MCP Server

Memgraph MCP Server: A Gateway to Graph Database and AI Integration

Welcome to the world of Memgraph MCP Server, a lightweight implementation of the Model Context Protocol (MCP) designed to seamlessly connect Memgraph graph database with Large Language Models (LLMs). If you're exploring ways to enhance AI workflows with graph technology, Memgraph MCP Server is your ideal solution.

What is Memgraph MCP Server?

Memgraph MCP Server acts as a bridge between Memgraph, a powerful graph database, and LLMs like Claude. It enables users to interact with graph data using natural language, making database querying intuitive and efficient for developers and AI enthusiasts.

Key Features of Memgraph MCP Server

• Seamless Integration: Connects Memgraph with LLMs for natural language interactions.
• Cypher Query Support: Run Cypher queries directly via the server with the run_query() tool.
• Schema Insights: Access detailed schema information using get_schema() (requires schema-info-enabled setting).
• Future-Ready: Upcoming TypeScript support and integration into Memgraph’s AI Toolkit.

How to Use Memgraph MCP Server

• Install dependencies and run the server using a virtual environment with tools like uv.
• Configure an MCP client like Claude Desktop to connect with the server.
• Start chatting with your Memgraph database by running Memgraph MAGE via Docker and interacting through Claude.

Use Case: AI-Driven Data Analysis

Developers can use Memgraph MCP Server to query complex graph data with natural language, streamlining data analysis for AI-powered applications like recommendation systems or fraud detection.

FAQ about Memgraph MCP Server

• What is the purpose of Memgraph MCP Server? It connects Memgraph to LLMs for intuitive database interactions.
• Is it beginner-friendly? Yes, with quick start guides and video tutorials available.

Explore Memgraph MCP Server today and unlock the potential of graph-powered AI!