Swiss MCP is an AI-driven multi-step task coordination center that can integrate various AI tools to complete complex tasks, such as content creation and full-stack application development.

This is a full-stack application based on Cloudflare Workers that combines a React front-end, REST API, and MCP server functionality, using Stytch for user authentication. The project demonstrates how to extend a traditional application into a solution that supports AI agents.

This project implements a full-stack AI agent system inspired by the model context protocol, including a React front-end and a FastAPI back-end. The back-end serves as an AI coordinator, using Google Gemini to parse natural language instructions, safely call the file system, browser, or GitHub tools to perform tasks, and return the structured results to the front-end. The system focuses on software development scenarios, providing secure sandbox file operations, real-time web browsing, and repository inspection functions, and visualizing the tool call process.

A full-stack web application based on FastAPI that provides a dual AI assistant experience (chatbot and tool-based agent), supports user authentication, real-time chat, history records, and file analysis, and can be deployed on Heroku.

AppsAI MCP Server is a platform that connects AI development tools with AppsAI projects, supporting the construction and deployment of full-stack applications through AI agents, and providing more than 150 tools for project management, front-end and back-end development, deployment, and market publishing.