#Vector Search MCP Servers

Connect your AI agent to AWS Bedrock Knowledge Bases. Execute semantic searches, managed RAG, and sync vector datasources natively.

Empower vector search via Elasticsearch. Perform dense vector kNN searches, handle index mappings, and index embedding documents directly from any AI agent.

Manage vector storage via MongoDB Atlas. Perform similarity searches, query MQL documents, and audit collections.

Manage vector embeddings via Chroma. List collections, query embeddings, and audit document counts directly from any AI agent.

Manage vector search and NoSQL via Couchbase. Execute N1QL queries, perform KNN vector searches, and audit documents directly from any AI agent.

Manage vectorized data via LanceDB. Perform similarity searches, create tables, and manage multi-modal embeddings.

Empower your AI to interact directly with your Qdrant vector database. Query clusters, perform similarity searches, and manage collections effortlessly.

Equip your AI to autonomously manage embeddings, run KNN similarity searches, and administrate vector indexes natively inside your Redis stack.

Bring Google's massive vector matching power to your AI agent. Search billions of semantic embeddings and administer Vertex Index endpoints directly in chat.

Manage Astra DB collections, documents, and perform vector similarity searches via DataStax directly from your AI agent.

Manage AI-powered search via Lucidworks Fusion. Execute semantic queries, index documents, and monitor ML training jobs.

Manage vector storage via Milvus. Perform ANN searches, query scalar entities, and audit collections.

Equip your AI with direct access to your R2R engine. Execute vector searches, run precise RAG queries, and manage your documents.

Automate vector similarity searches via Typesense. Index documents, manage collections, and execute semantic queries directly from your AI agent.

Manage modular RAG via Cognita. List collections, ingest data sources, and perform AI-driven Q&A directly from any AI agent.

Porter and Lancaster local text stemming. Reduce vocabulary size exactly and deterministically before feeding text to a vector database.

Power your agent with Vald. Query, insert, and manage dense vectors on a highly scalable, distributed nearest-neighbor engine.

Automate your serverless database workflows with Xata. Manage organizations, projects, and branches directly from your AI agent.

Manage MyScale vector databases via SQL. Execute queries, perform vector searches, and manage indices directly from any AI agent.

Generate high-quality text, multimodal, and contextualized embeddings, plus high-precision reranking for RAG workflows.