qdrant-mcp-server
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An MCP server for interacting with Qdrant vector database, providing tools for managing vectors, performing similarity searches, and automatic text-to-vector embedding.
The Qdrant MCP Server is designed to facilitate interaction with the Qdrant vector database using the Master Control Program (MCP) framework. It offers capabilities for automatic text-to-vector embedding, efficient storage and retrieval of text content, and similarity searches. The server is configured to use environment variables for default collection settings and supports various embedding models through FastEmbed. It is optimized for efficient embedding and retrieval operations, making it suitable for applications requiring high-performance vector searches.
Features
- Automatic text-to-vector embedding using FastEmbed
- Store and retrieve text content with vector search
- Use default collection configuration through environment variables
- Text similarity search by content
- Efficient embedding with optimized models
Tools
Text Tools
Tools for storing and searching text, including store_text, search_similar_text, and store_texts.
Vector Tools
Tools for managing vectors, including search_vectors, upsert_vectors, and filter_search.
Point Tools
Tools for managing points in collections, including get_points, delete_points, and count_points.