An MCP server for Weaviate, providing knowledge base access and chat memory store functionality via the MCP protocol.
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A Pinecone MCP server providing vector search capabilities over Pinecone through the Model Context Protocol.
An MCP server integrating Pinecone for advanced vector management, offering features like automatic namespace partitioning, metadata-aware chunking, and cost-optimized upserts for high-performance data recall.
MCP server for Milvus/Zilliz vector databases, enabling direct interaction with your database through the MCP protocol.
A Qdrant MCP server that enables MCP protocol support for Qdrant vector databases.
An official MCP Server for Qdrant, providing GDPR-compliant vector search and integration of AI memory with chat platforms via the Model Context Protocol.
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.