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.
@gifflet
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"graphiti-mcp-server": {
"command": "docker",
"args": [
"compose",
"up"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
You need Docker and Docker Compose, Python 3.10 or higher, and an OpenAI API key.
After cloning the repo and setting up the `.env` file, run `docker compose up` from the project directory.
Data is stored in a Neo4j database that runs as part of the Docker Compose stack.
In Cursor’s MCP configuration, add a server entry with `"url": "http://localhost:8000/sse"`. Optionally, apply user rules from `graphiti_cursor_rules.md`.
It integrates with OpenAI models; the default model configured is `gpt-4o`.
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