Qdrant

The Qdrant MCP server enables AI agents to perform semantic search and manage vector collections in Qdrant. Ideal for RAG applications, recommendation systems, and similarity search. ## Capabilities - **Collections** — Create, list, and manage vector collections - **Search** — Perform semantic vector search with filters - **Upsert** — Insert and update vector points with payloads - **Delete** — Remove vectors by ID or filter conditions - **Payload** — Read and update metadata payloads - **Health** — Monitor collection health and statistics - **Snapshots** — Create and restore collection snapshots ## Usage ```json { "mcpServers": { "qdrant": { "command": "uvx", "args": ["mcp-server-qdrant"] } } } ``` ## Configuration 1. Install Qdrant: `docker run -p 6333:6333 qdrant/qdrant` 2. Set `QDRANT_URL` environment variable (default: `http://localhost:6333`) 3. Optional: Set `QDRANT_API_KEY` for cloud instances