Graphiti MCP Server

@gifflet

Repository

Basic information

About Graphiti MCP Server

No overview available yet

#graphiti #knowledge-graph #ai-integration

Graphiti MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "graphiti-mcp-server": {
      "command": "docker",
      "args": [
        "compose",
        "up"
      ]
    }
  }
}

Graphiti MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Graphiti MCP Server?

Graphiti MCP Server is a knowledge graph server for AI agents, built with Neo4j and integrated with the Model Context Protocol (MCP). It enables dynamic graph management and semantic search, and is designed for developers using AI agents who need to store and query structured knowledge.

How to use Graphiti MCP Server?

Clone the repository, set up environment variables (including an OpenAI API key), then start the services with docker compose up. The server runs in Docker and exposes an SSE endpoint at http://localhost:8000/sse which can be configured in IDEs like Cursor by adding a JSON entry for MCP servers.

Key features of Graphiti MCP Server

Dynamic knowledge graph management with Neo4j
Seamless integration with OpenAI models
MCP (Model Context Protocol) support
Docker-ready deployment
Custom entity extraction capabilities
Advanced semantic search functionality

Use cases of Graphiti MCP Server

Providing persistent knowledge memory for AI agent sessions
Enabling semantic search over structured graph data
Managing dynamic, evolving knowledge bases in agent workflows

Frequently asked questions

What are the prerequisites to run Graphiti MCP Server?

You need Docker and Docker Compose, Python 3.10 or higher, and an OpenAI API key.

How do I start Graphiti MCP Server?

After cloning the repo and setting up the `.env` file, run `docker compose up` from the project directory.

Where is the knowledge graph data stored?

Data is stored in a Neo4j database that runs as part of the Docker Compose stack.

How can I integrate Graphiti MCP Server with Cursor IDE?

In Cursor’s MCP configuration, add a server entry with `"url": "http://localhost:8000/sse"`. Optionally, apply user rules from `graphiti_cursor_rules.md`.

Which LLM models does Graphiti MCP Server work with?

It integrates with OpenAI models; the default model configured is `gpt-4o`.

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