Baidu Vector Database MCP Server

Provides semantic vector search and collection management using Qdrant database integrated with OpenAI embeddings for enhanced natural language query capabilities within the Model Context Protocol framework.

A powerful backend service supporting file management, MongoDB integration, external API calls, and vector database operations, designed for seamless Model Context Protocol (MCP) integration with large language models and featuring full Docker deployment and client examples.

Provides Model Context Protocol (MCP) capabilities to insert and retrieve objects using hybrid search within a Weaviate vector database for efficient data management and querying.

Provides real-time semantic search across files by watching directories, creating vector embeddings, and enabling efficient querying and indexing through the Model Context Protocol.

Provides secure content analysis and risk detection for large language model applications via Model Context Protocol, enabling real-time input safety checks with Baidu Cloud AI content security capabilities.