Qdrant Retrieve MCP Server
Semantic search MCP server leveraging Qdrant vector database for multi-collection, multi-query retrieval with configurable results and collection source tracking.
Supercharge Your AI with Qdrant Retrieve MCP Server
Unlock the full potential of Qdrant Retrieve MCP Server through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.
Free tier available • No credit card required
API key for authenticated Qdrant instances (optional)
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
Provides semantic vector search and collection management using Qdrant database integrated with OpenAI embeddings for enhanced natural language query capabilities within the Model Context Protocol framework.
Added May 29, 2025
Provides a Model Context Protocol server offering graph-based knowledge representation with semantic search powered by OpenAI embeddings and Qdrant vector database, featuring file persistence, entity management, HTTPS support, and Docker deployment.
Added May 30, 2025
Model Context Protocol server enhancing Qdrant vector database management with features for listing collections, adding documents using multiple embedding services, performing semantic searches, and deleting collections.
Added May 29, 2025
Provides advanced web crawling, content vectorization, and retrieval-augmented generation (RAG) capabilities for AI agents and coding assistants using the Model Context Protocol, enabling efficient multi-source data indexing, semantic search, and configurable embedding models.
Added May 30, 2025
Model Context Protocol server for storing and semantically searching text with metadata in a Qdrant vector database, featuring FastEmbed integration, environment-based configuration, and Docker support.
Added May 30, 2025