What are the prerequisites to run MCP Server with Qdrant?
Docker and Docker Compose must be installed on the system.
@ChangJunPark
基本情報
qdrant + mcp-qdrant-server
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。
MCP Server with Qdrant integrates the Qdrant vector database with a Model Context Protocol server to store, manage, and semantically search code snippets. It is designed for developers and AI tools that need to retrieve relevant code using natural language queries.
Start the services with docker-compose up -d. Use the provided MCP tools qdrant-store to store information and qdrant-find to search for related snippets. Configure AI IDEs (such as Cursor) by adding a JSON entry with "url": "http://localhost:8000/sse".
all-MiniLM-L6-v2.qdrant-store and qdrant-find tools.Docker and Docker Compose must be installed on the system.
Data is stored permanently in the `./qdrant_storage` directory. Regular backups of this directory are recommended.
Set the `EMBEDDING_MODEL` environment variable to your desired model name (default is `sentence-transformers/all-MiniLM-L6-v2`).
The Qdrant UI is available at `http://localhost:6333/dashboard`.
The MCP server uses SSE (Server-Sent Events) and listens on port 8000 at the `/sse` endpoint.
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