DuckDB MCP Server is a service that implements the Model Context Protocol (MCP), enabling AI assistants to interact with the DuckDB database via SQL, supporting queries from multiple data sources and cloud storage access.

An MCP server implementation based on the DuckDuckGo search engine, providing structured search, intelligent classification, and language detection functions, and supporting integration with AI clients.

DuckDuckGo Search MCP is a fast, privacy-friendly Model Context Protocol (MCP) server based on DuckDuckGo, providing web search and URL content extraction functions and being compatible with multiple AI providers.

A lightweight bridge service that enables Claude AI to search the web in real-time. This project is based on a Flask server, integrating Claude's advanced capabilities and DuckDuckGo search, allowing the AI to obtain real-time information during conversations.

MCP-GetWeb is a protocol server that provides web search and content extraction functions, supporting multiple search engines such as DuckDuckGo, Google, and Felo AI, and can crawl URL content, extract metadata, and convert it into Markdown format.

This project designs and implements an architecture that connects the data space with generative AI. Through the Model Context Protocol (MCP) server as a secure middle layer, the language model can indirectly access the DuckDB database. It has the characteristics of modularity, extensibility, and log tracking, laying the foundation for future upgrades to the RAG architecture.

MCPilot is an AI chatbot that integrates real-time tools (such as DuckDuckGo, Airbnb, and weather APIs), providing context-aware real-time queries and task assistance through the Gradio front-end and GROQ backend.