Graphiti MCP Server

@gifflet

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gifflet

关于 Graphiti MCP Server

暂无概览

#graphiti #knowledge-graph #ai-integration

Graphiti MCP Server 配置

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"
      ]
    }
  }
}

Graphiti MCP Server 工具

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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。

概览

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

常见问题

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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