# Vector database

The MCP server project is used to connect to the Weaviate vector database, providing search and storage functions, and supporting the configuration of the development environment through the Claude desktop application.

A system integrating the Qdrant vector database and MCP server for storing and retrieving code snippets, supporting natural language search and semantic retrieval.

An MCP server project based on FastAPI, including Qdrant vector database integration and OpenWebUI client support

MCP service integrating knowledge graph and vector database based on SQLite

This project provides a Claude-compatible Milvus MCP server, including the FastMCP service, Milvus database configuration, and startup scripts, supporting connection and operation of the Milvus vector database through the Claude desktop client.

A semantic search MCP service based on the Qdrant vector database, supporting multi - collection retrieval and configurable result return

Wisdom Forging is a powerful knowledge management system that efficiently stores and retrieves experience, insights, and best practices through the Qdrant vector database.

Files-DB-MCP is a local vector database project designed for software files, providing a fast MCP interface to support LLM programming agents.

The Chroma MCP Server is a model context protocol server designed for the Chroma vector database, aiming to provide persistent working memory functions for AI-assisted development, supporting cross-session context storage and semantic retrieval.

A model context protocol server based on LanceDB, providing functions such as vector storage, similarity search, and metadata management

The project provides a Dockerized deployment solution, including the main application and the ChromaDB vector database, supporting environment variable configuration and data persistence.

This project implements an MCP server based on the Pinecone vector database, supporting read and write operations on vector data, capable of processing PDF and Confluence data, and providing functions such as document search, vector addition, bulk processing, and data deletion.

A Machine Control Protocol (MCP) server based on the Qdrant vector database, used for storing and retrieving text information, supporting semantic search and FastEmbed integration.

The VikingDB MCP Server is an MCP service that provides storage and search functions for the VikingDB vector database, supporting quick access through configuration and data operations using related tools.

A Machine Control Protocol (MCP) server based on the Qdrant vector database, supporting text storage, semantic search, and integration of the FastEmbed embedding model.