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mcp-qdrant-docker

mcp-qdrant-docker

3.1

If you are the rightful owner of mcp-qdrant-docker and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This project provides an MCP server to enable Claude to access a Qdrant vector database deployed on a VPS.

The MCP server for Qdrant is designed to facilitate the interaction between Claude, an AI model, and a Qdrant vector database. The server is deployed using Docker and is configured to expose the Qdrant server to Claude, allowing for efficient data retrieval and processing. The Qdrant server is hosted on Coolify, and the MCP server is set up to handle requests and manage data flow between Claude and the Qdrant database. This setup is particularly useful for applications requiring high-performance vector search capabilities, leveraging Qdrant's robust infrastructure.

Features

Docker Deployment: The MCP server is containerized using Docker, ensuring easy deployment and scalability.
Coolify Integration: The Qdrant server is hosted on Coolify, providing a reliable and scalable environment.
Environment Configuration: Supports environment variables for flexible configuration of server URL, API key, and collection name.
Embedding Model Support: Utilizes sentence-transformers for embedding, with a default model provided.
SSE Support: The server supports Server-Sent Events (SSE) for real-time data streaming to remote clients.

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