mcp-server-qdrant

What is this MCP

This is a Model Context Protocol server for Qdrant, a vector search engine. It provides a semantic memory layer for LLM applications, enabling storage and retrieval of vectorized information with metadata.

How to use this MCP

The server can be run via UVX, Docker, or directly in VS Code. Configure using environment variables (QDRANT_URL, COLLECTION_NAME, etc.) and connect it to MCP-compatible clients like Claude, Cursor, or VS Code for semantic search capabilities.

What this MCP can be used for

- Building AI-powered semantic memory systems

- Enhancing LLMs with contextual retrieval capabilities

- Creating specialized code search tools for development environments