# AI automation

Desktop Commander MCP is an AI - driven desktop file management and terminal command execution tool. Through the Model Context Protocol (MCP) technology, the Claude desktop application can directly access the file system, execute terminal commands, manage processes, and edit code without API call fees.

Kali MCP Server is a lightweight API bridging tool that connects MCP clients to the Kali Linux terminal, enabling AI - assisted penetration testing and CTF challenge automation.

mirroir - mcp is an MCP server that allows AI agents to view the mobile phone screen in real - time, click on elements, and perform operations through the macOS iPhone mirroring function, providing AI with visual and interactive capabilities.

Ghost Bridge is an AI co-pilot tool that does not require restarting Chrome. It directly connects to the Chrome DevTools protocol through a browser extension to enable real-time debugging, network analysis, page perception, and DOM automation operations.

This project is an automation platform integrating AI, Ansible, and OpenShift. It enables interaction with Claude Desktop through the MCP server and supports automated task execution and management.

The YingDao AI Power RPA MCP Server is a bridge service based on the MCP protocol, connecting AI Power and other MCP host tools, enabling AI to call RPA capabilities. It supports two service modes, SSE and Stdio, and provides two operating methods, local and OpenAPI.

An MCP server based on TypeScript, which controls the Minecraft Bedrock Edition via WebSocket connection, provides functions such as player operations, world management, and building tools, and supports AI automated operations.

Create an AI web automation project for the application of AI prompts and MCP servers in automated testing

The Gitee MCP Server is a service that allows AI to operate Gitee repositories/issues/pull requests through the Model Context Protocol

An AI - automated management tool for Optimizely DXP, supporting code deployment, environment management, and operation monitoring through natural language instructions.

This project is used to practice relevant technologies such as Langgraph, Langchain, and AI automation, and includes the implementation of an MCP server and client.

The Make MCP server converts Make automation scenarios into AI tools

This project uses the Model Context Protocol (MCP) framework to achieve automated control of the Windows Paint program (MSPaint) by an AI agent. It uses pywinauto to operate the Paint tool and combines with the Gemini model to implement drawing functions driven by natural language instructions.

A low-cost, no-code AI SaaS building platform based on Raspberry Pi that enables everyone to develop complete SaaS applications with a device costing $480, including browser automation testing and AI-assisted development features.