mcp-windows-automation

MCP Windows Server turns a Windows PC into an AI-controlled automation hub. Built on the Model Context Protocol (MCP), it exposes a secure, plugin-based interface that lets AI assistants like Claude or ChatGPT issue natural language commands which are translated into Windows actions. The server provides hundreds of automation capabilities across system control, file operations, web automation, image processing, data analysis, office integration, security, and network management. When connected to an AI agent, you can ask it to perform tasks such as killing a misbehaving process, extracting data from files, taking screenshots, generating Excel reports, or checking network status, all while maintaining safety filters and a controlled execution environment.

To use it, start the MCP server and connect your AI assistant through MCP-compatible tooling. For Claude Desktop, configure the mcp-windows-server entry with the required environment (e.g., PYTHONUNBUFFERED=1) so logs and outputs are well-behaved. The server exposes a flexible configuration object that maps a server name to an executable command and optional environment variables. Once running, you can issue natural-language commands to the AI assistant and receive real-time responses and system telemetry as the AI interacts with Windows APIs and installed plugins.

Prerequisites:\n- Windows 10/11 (or a compatible Windows environment)\n- Python 3.10+ installed on the system (with pip)\n- Internet access to install dependencies or access to your Git repository\n\nInstall from PyPI (preferred for stable releases):\n1. pip install mcp-windows-server\n\nInstall from source:\n1. git clone https://github.com/mukul975/mcp-windows-automation.git\n2. cd mcp-windows-server\n3. pip install -r requirements.txt\n4. python unified_server.py # if you prefer running the script directly\n\nStart the server (CLI entry point):\n1. mcp-windows-server # if installed via package entry point\n or\n2. python -m mcp_windows_automation.unified_server\n\nOptional: Build and install locally from source for development:\n1. python -m build\n2. pip install dist/mcp_windows_server-*.whl"

Tips and common considerations:\n- Environment: Use PYTHONUNBUFFERED=1 to ensure clean logging when integrating with AI desktops.\n- Configuration: The MCP config maps server names to commands; you can customize the server key (e.g., mcp-windows-server) to match your environment.\n- Security: The framework emphasizes safe execution with command filtering. Review and tailor the default templates to your security requirements.\n- Dependencies: Ensure Windows APIs and any required plugins are available; some capabilities may require additional system permissions (e.g., registry edits or service management).\n- Troubleshooting: If the AI assistant cannot reach the server, verify network connectivity, MCP handshake, and that the Python process is running with sufficient permissions.\n- Claude Desktop integration: Use the example config to connect Claude Desktop to the MCP server and restart the desktop app after configuring.