Graphiti MCP Server 🧠
About
# Graphiti MCP Server 🧠 [](https://www.python.org/downloads/release/python-3100/) [](https://opensource.org/licenses/MIT)…
Details
- Author
- gifflet
- Downloads
- 324
- Categories
- Other, Knowledge Base
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Graphiti MCP Server 🧠Command (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"graphiti mcp server \ud83e\udde0": {
"graphiti-mcp-server": {
"command": "docker",
"args": [
"compose",
"up"
]
}
}
}
}McpServers
{
"graphiti-mcp-server": {
"command": "docker",
"args": [
"compose",
"up"
]
}
}Graphiti MCP Server 🧠
> 🌟 A powerful knowledge graph server for AI agents, built with Neo4j and integrated with Model Context Protocol (MCP).
🚀 Features
- 🔄 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
🛠️ Installation
Prerequisites
- Docker and Docker Compose
- Python 3.10 or higher
- OpenAI API key
Quick Start 🚀
1. Clone the repository:
git clone https://github.com/gifflet/graphiti-mcp-server.git
cd graphiti-mcp-server
2. Set up environment variables:
cp .env.sample .env
3. Edit .env with your configuration:
```bash
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