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graphrag-mcp

Combines Neo4j and Qdrant databases for document search with semantic relevance and context, serving as a powerful MCP server for structured and vector search.

mcp-server-qdrant

A Qdrant MCP server that enables MCP protocol support for Qdrant vector databases.

qdrant-mcp-vector-engine

An official MCP Server for Qdrant, providing GDPR-compliant vector search and integration of AI memory with chat platforms via the Model Context Protocol.

Vector Search MCP Server

A purpose-built MCP server that enables semantic data retrieval via vector embeddings, allowing AI systems to perform meaning-based searches in large datasets. Qdrant is a leading example, offering standard protocols for vector operations.

Qdrant MCP Server

The Qdrant MCP Server integrates with the Qdrant vector search engine, allowing AI agents to store and retrieve semantic information using MCP, ideal for advanced AI memory and retrieval tasks.