# Vector Search

An MCP server for document retrieval and processing based on vector search, providing document enhancement functions for AI assistants

An MCP service for semantic search of Star Wars planets based on Couchbase

A Qdrant vector database service based on the MCP framework, providing text vectorization storage and similarity search functions.

The Pinecone MCP Server is a model context protocol server designed for Claude Desktop, providing read and write interaction capabilities with Pinecone indexes.

This is an MCP server implementation based on the Qdrant vector search engine, providing semantic memory storage and retrieval functions, and supporting integration with multiple AI development tools.

A GitHub intelligent chat MCP server based on the Go language, providing natural language interaction with GitHub functions and vector search capabilities

The RAG Document MCP Server is a vector search-based document processing tool that provides document retrieval and context enhancement functions for AI assistants.

The MCP Memory Server provides long-term memory functions for AI assistants and implements efficient vector similarity search based on PostgreSQL and pgvector.

A multi - agent AI infrastructure based on the Model Context Protocol (MCP), providing a standardized communication layer, supporting vector databases, tool integration, and multi - agent collaboration, including core components such as an inspector dashboard, Qdrant vector database, and Docker network.

A Node.js-based vector search project that uses the LanceDB database and Ollama embedding model to implement document similarity search functionality

An embedded vector search server based on the MCP protocol for querying transcribed segments and embedded vectors in the Turso database. It supports searching for relevant segments by question.

A Docker Compose solution for quickly deploying the Qdrant vector search engine and MCP protocol server locally

A Python server project based on the MCP protocol, which uses OpenAI's vector storage function to build a RAG system, supporting the creation of vector databases from multiple file formats and semantic search.

A Go - based GitHub agent chat MCP server that provides natural language interaction with GitHub and vector search capabilities.

A knowledge graph service supporting both FastAPI and FastMCP protocols, providing core operation functions of the Qdrant vector database.

A powerful MCP server that provides web search and similar content search functions, specifically designed for Claude Desktop.

An MCP server based on the Qdrant vector search engine, providing semantic memory layer functions and supporting information storage and retrieval.

Semantic search system for code snippets based on Qdrant

NexusHub is a unified MCP server designed for the Claude AI tool, offering various functions such as file system access, database operations, vector search, and GitHub integration. It supports both HTTP and stdio protocols and includes a modern dashboard interface.