mcp-servers
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Overview
Provides an MCP server for Qdrant vector database integration, enabling AI agents to perform semantic search, store documents, and manage collections with advanced multi-tenant filtering capabilities.
Installation
docker compose up mcp_server_qdrantEnvironment Variables
- QDRANT_HOST
- QDRANT_PORT
- QDRANT_API_KEY
- EMBEDDING_PROVIDER
- EMBEDDING_MODEL
Security Notes
Strong input validation with Pydantic schemas and environment variable-based secret management are positive security practices. The `PayloadSizeMiddleware` prevents large payload attacks. Multi-tenant filtering is explicitly handled within the Qdrant connector, improving data isolation. The `fastembed` library downloads embedding models dynamically, which could pose a supply chain risk if not from trusted repositories or if model integrity is not verified. Qdrant filter expressions, while utilizing the client library, should be carefully constructed to prevent unintended data exposure in multi-tenant scenarios.
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