The Memgraph MCP Server acts as a bridge between Memgraph and LLMs, enabling AI-driven database interactions through a lightweight implementation. With this server, you can:
Run queries: Execute Cypher queries against Memgraph using the run_query() tool
Access schema information: Retrieve database structure details with the get_schema() resource (requires --schema-info-enabled=True)
Interact conversationally: Connect LLMs like Claude to interact with your database directly from a chat interface
This repository has been merged into the
Memgraph MCP Server is a lightweight server implementation of the Model Context Protocol (MCP) designed to connect Memgraph with LLMs.
Install uv and create venv with uv venv. Activate virtual environment with .venv\Scripts\activate.
Install dependencies: uv add "mcp[cli]" httpx
Run Memgraph MCP server: uv run server.py.
Install Claude for Desktop.
Add the Memgraph server to Claude config:
MacOS/Linux
Windows
Example config:
You may need to put the full path to the uv executable in the command field. You can get this by running which uv on MacOS/Linux or where uv on Windows. Make sure you pass in the absolute path to your server.
Run Memgraph MAGE:
The --schema-info-enabled configuration setting is set to True to allow LLM to run SHOW SCHEMA INFO query.
Open Claude Desktop and see the Memgraph tools and resources listed. Try it out! (You can load dummy data from Memgraph Lab Datasets)
Run a Cypher query against Memgraph.
Get Memgraph schema information (prerequisite: --schema-info-enabled=True).
The Memgraph MCP Server is just at its beginnings. We're actively working on expanding its capabilities and making it even easier to integrate Memgraph into modern AI workflows. In the near future, we'll be releasing a TypeScript version of the server to better support JavaScript-based environments. Additionally, we plan to migrate this project into our central AI Toolkit repository, where it will live alongside other tools and integrations for LangChain, LlamaIndex, and MCP. Our goal is to provide a unified, open-source toolkit that makes it seamless to build graph-powered applications and intelligent agents with Memgraph at the core.
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A lightweight server implementation of the Model Context Protocol that connects Memgraph database with LLMs, allowing users to interact with graph databases through natural language.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/memgraph/mcp-memgraph'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
