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
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"graphiti-mcp-server": {
"command": "docker",
"args": [
"compose",
"up"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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