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Memgraph MCP Server: Scalable Real-Time Graph Insights - MCP Implementation

Memgraph MCP Server: Scalable Real-Time Graph Insights

Unleash real-time graph analytics at lightning speed with Memgraph MCP Server – the scalable, in-memory powerhouse built for complex data relationships. Turn insights into action, instantly.

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About Memgraph MCP Server

What is Memgraph MCP Server: Scalable Real-Time Graph Insights?

Memgraph MCP Server is a powerful tool designed to deliver real-time graph analytics at scale. It enables developers to execute Cypher queries, retrieve schema details, and integrate seamlessly with platforms like Claude Desktop. Built for dynamic environments, this server efficiently handles evolving datasets while maintaining high performance under heavy workloads.

How to Use Memgraph MCP Server: Scalable Real-Time Graph Insights?

Getting started involves three core steps: setup, configuration, and integration. First, install the UV runtime and create a virtual environment. Next, configure dependencies and specify server paths in Claude's config file. Finally, launch the server and verify connectivity via the Claude Desktop interface. Ensure all paths are absolute to avoid execution errors.

Memgraph MCP Server Features

Key Features of Memgraph MCP Server: Scalable Real-Time Graph Insights?

Central to its functionality are real-time query execution capabilities that deliver instantaneous insights from connected graph databases. The server supports schema discovery through specialized commands, while its modular design ensures smooth scaling for growing datasets. Integration with AI platforms like Claude enables advanced analytical workflows without sacrificing performance.

Use Cases of Memgraph MCP Server: Scalable Real-Time Graph Insights?

Memgraph MCP Server FAQ

FAQ from Memgraph MCP Server: Scalable Real-Time Graph Insights?

How do I verify proper installation?
Check server logs for startup messages and execute test queries via the Claude interface. Look for the Memgraph tool listing in the platform’s sidebar.

Does this require specific hardware?
While optimized for modern systems, the server adapts to available resources. Performance scales with CPU cores and memory capacity.

Can I customize query parameters?
Yes, advanced users can modify command-line arguments in configuration files to tailor execution behavior.

Content

Memgraph MCP Server

Run server

  1. Install uv and create venv with uv venv. Activate virtual environment with .venv\Scripts\activate.
  2. Install dependencies: uv add "mcp[cli]" httpx
  3. Run Memgraph MCP server: uv run server.py.
  4. Install Claude for Desktop.
  5. Add the Memgraph server to Claude config:

MacOS/Linux

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

Windows

code $env:AppData\Claude\claude_desktop_config.json

Example config:

{
    "mcpServers": {
      "mpc-memgraph": {
        "command": "/Users/katelatte/.local/bin/uv",
        "args": [
            "--directory",
            "/Users/katelatte/projects/mcp-memgraph",
            "run",
            "server.py"
        ]
     }
   }
}

[!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.

  1. Open Claude Desktop and see the Memgraph tool listed. Try it out! (Have data loaded in Memgraph)

Tools

run_query()

Run a Cypher query against Memgraph

Resources

get_schema()

Get Memgraph schema information (run SHOW SCHEMA INFO; query) -> prerequisite: --schema-info-enabled=true.

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