FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.

The Apiiro Guardian Agent MCP server connects AI programming assistants with the Apiiro security analysis platform, providing real - time code security analysis, risk queries, scan triggering, and security management functions through the MCP protocol.

Cursor MCP is a bridge tool connecting the Claude desktop application with the Cursor editor, supporting AI - driven automated programming, multi - window management, and cross - platform operations. It integrates with multiple AI services through a standardized protocol.

Mitto is a modern AI programming assistant management platform that supports connecting multiple ACP - compatible AI coding agents, providing a native macOS application, a web interface, and a CLI for cross - device session management and real - time collaboration.

Azure MCP Hub is a platform that helps developers quickly build, run, or reuse Model Context Protocol (MCP) servers. It supports multiple programming languages and AI frameworks, enabling AI agents to call real APIs.

The Model Context Protocol (MCP) server of the Bybit exchange supports interaction with the Bybit trading platform through AI programming tools (such as Claude Code and Cursor), providing market data query, account management, and trading functions.

An AI infrastructure-as-code platform based on Model Context Protocol (MCP), integrating Ollama for intelligent agent programming and server management.

This is a generative AI course project for beginners, providing a complete learning path from environment setup to practical application. The project includes 6 concept courses and 6 programming courses, using the Azure OpenAI service for practical operations. Learners can quickly start through GitHub Codespaces or choose to install the Python environment locally. The project emphasizes the secure management of API keys and provides detailed setup guides. In addition, learners are encouraged to participate in open-source contributions, and an AI community communication platform is provided.