MCP trust directory
Compare Model Context Protocol servers by recorded version evidence, publisher evidence, permissions, secrets, client compatibility, and review state before adding one to an agent.
Showing 1-15 of 15 matching listings · 297 total
Query and manage relational, document, and graph data stores.
Store and retrieve embeddings for semantic search and RAG.
MCP server
Official Vector DatabasesChroma · 0.1.0
Official Chroma MCP — access local and cloud Chroma vector database instances for semantic search and document retrieval within AI agents.
MCP server
Vector DatabasesEpsilla · 0.1.0
Epsilla MCP — high-performance vector search with built-in RAG pipelines, structured+unstructured hybrid queries, and low-latency retrieval.
MCP server
Official Vector DatabasesLanceDB · 0.1.0
LanceDB MCP — embedded vector database operations: create tables, insert vectors, run ANN search, and manage Lance datasets.
MCP server
Vector DatabasesMarqo · 0.1.0
Marqo MCP — multimodal vector search: index images and text, run tensor search, and retrieve structured+unstructured content.
MCP server
Official Vector DatabasesZilliz · 0.1.0
Official Milvus/Zilliz MCP — interact with Milvus vector database for similarity search, collection management, and AI-native data operations.
MCP server
Vector Databasescommunity · 0.1.0
pgvector MCP — run vector similarity search directly in PostgreSQL using the pgvector extension with HNSW/IVFFlat indexes.
MCP server
Official Vector DatabasesPinecone · source-snapshot-2026-07-16
Query Pinecone Assistant knowledge bases and retrieve semantically relevant context for agent tasks.
MCP server
Official Vector DatabasesPinecone · 1.0.0
Pinecone MCP — manage indexes, upsert and query vectors, and use namespaces for multi-tenant retrieval in Pinecone.
MCP server
Official Vector DatabasesQdrant · source-snapshot-2026-07-16
Connect to a Qdrant vector database to store, search, and retrieve dense and sparse vector embeddings.
MCP server
Official Vector DatabasesTurbopuffer · 0.1.0
Turbopuffer MCP — serverless vector search with BM25, hybrid search, and namespace isolation optimized for AI retrieval workloads.
MCP server
Official Vector DatabasesVectara · 0.1.0
Vectara MCP — upload documents, run semantic search, and perform factual RAG queries with hallucination reduction in Vectara.
MCP server
Official Vector DatabasesVespa.ai · 0.1.0
Vespa MCP — run large-scale hybrid vector and text search with ranking expressions on Vespa's big-data serving engine.
MCP server
Official Vector DatabasesWeaviate · source-snapshot-2026-07-16
Interact with Weaviate vector collections as a knowledge base and use Weaviate as a persistent chat memory store.
MCP server
Official Vector DatabasesZilliz · 0.1.0
Zilliz Cloud MCP — fully managed Milvus vector database: create clusters, manage collections, upsert vectors, and run ANN queries.
