mcp-memgraph 0.1.2

MCP integration and utilities for Memgraph MCP server

🚀 Memgraph MCP Server

Memgraph MCP Server is a lightweight server implementation of the Model Context Protocol (MCP) designed to connect Memgraph with LLMs.

Run Memgraph MCP server

1. Install uv
2. Install Claude for Desktop.
3. Add the Memgraph server to Claude config

You can do it in the UI, by opening your Claude desktop app navigate to Settings, under the Developer section, click on Edit Config and add the following content:

{
    "mcpServers": {
      "mpc-memgraph": {
        "command": "uv",
        "args": [
            "run",
            "--with",
            "mcp-memgraph",
            "--python",
            "3.13",
            "mcp-memgraph"
        ]
     }
   }
}

Or you can open the config file in your favorite text editor. The location of the config file depends on your operating system:

MacOS/Linux

~/Library/Application\ Support/Claude/claude_desktop_config.json

Windows

%APPDATA%/Claude/claude_desktop_config.json

[!NOTE]
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.

Chat with the database

1. Run Memgraph MAGE:

   docker run -p 7687:7687 memgraph/memgraph-mage --schema-info-enabled=True
   

   The --schema-info-enabled configuration setting is set to True to allow LLM to run SHOW SCHEMA INFO query.
2. Open Claude Desktop and see the Memgraph tools and resources listed. Try it out! (You can load dummy data from Memgraph Lab Datasets)

🔧Tools

The Memgraph MCP Server exposes the following tools over MCP. Each tool runs a Memgraph‐toolbox operation and returns a list of records (dictionaries).

run_query(query: str)

Run any arbitrary Cypher query against the connected Memgraph database.
Parameters:

• query: A valid Cypher query string.

get_configuration()

Fetch the current Memgraph configuration settings.
Equivalent to running SHOW CONFIGURATION.

get_index()

Retrieve information about existing indexes.
Equivalent to running SHOW INDEX INFO.

get_constraint()

Retrieve information about existing constraints.
Equivalent to running SHOW CONSTRAINT INFO.

get_schema()

Fetch the graph schema (labels, relationships, property keys).
Equivalent to running SHOW SCHEMA INFO.

get_storage()

Retrieve storage usage metrics for nodes, relationships, and properties.
Equivalent to running SHOW STORAGE INFO.

get_triggers()

List all database triggers.
Equivalent to running SHOW TRIGGERS.

get_betweenness_centrality()

Compute betweenness centrality on the entire graph.
Uses BetweennessCentralityTool under the hood.

get_page_rank()

Compute PageRank scores for all nodes.
Uses PageRankTool under the hood.

🗺️ Roadmap

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.