Vector Search MCP Servers

Embeddings, vector search, document storage, and full-text search with the open-source AI application database

A standard interface for managing and querying MariaDB databases, supporting both standard SQL operations and advanced vector/embedding-based search.

Implement semantic memory layer on top of the Qdrant vector search engine

VikingDB integration with collection and index introduction, vector store and search capabilities.

Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context