mcp-windows-server

mcp-windows-server

Enables AI assistants to control Windows systems through natural language commands, providing 200+ automation tools for system control, file operations, web automation, and more.

Category
访问服务器

README

🚀 MCP Windows Server - AI-Powered Windows Automation

License: MIT Python 3.10+ Platform: Windows PyPI version AI Ready

Transform your Windows PC into an intelligent automation hub controlled by AI assistants like Claude, ChatGPT, and more.

🔍 Overview

MCP Windows Server is an AI-native automation framework that enables AI assistants to control Windows systems through natural language commands. Built on the Model Context Protocol (MCP), it provides secure, comprehensive system-level automation capabilities.

🤖 What is Model Context Protocol (MCP)?

MCP is an open protocol by Anthropic that allows AI models to interact safely with local tools, APIs, and system services. Our server implements this protocol for Windows, making AI assistants powerful desktop automation agents.

  • 🔐 Secure System Access - Controlled command execution with safety filters
  • 🧠 AI Agent Compatible - Works with Claude, ChatGPT, and other AI assistants
  • 🔄 Real-Time Communication - Instant bidirectional AI ↔️ System interaction
  • 🔧 Plugin Architecture - Extensible framework for custom automation

🚀 Quick Start

Installation

# Install from PyPI
pip install mcp-windows-server

# Or install from source
git clone https://github.com/mukul975/mcp-windows-automation.git
cd mcp-windows-server
pip install -r requirements.txt

Usage

# Start the MCP server
mcp-windows-server

# Or use the unified server directly
unified-server

Claude Desktop Integration

  1. Install the package: pip install mcp-windows-server
  2. Configure Claude Desktop:
{
  "mcpServers": {
    "mcp-windows-server": {
      "command": "mcp-windows-server",
      "env": {
        "PYTHONUNBUFFERED": "1"
      }
    }
  }
}
  1. Restart Claude Desktop and start automating!

🌟 Key Features

  • 200+ Automation Tools - Comprehensive Windows control
  • 🧠 AI-Context Aware - Understands natural language commands
  • 🔁 Bidirectional Communication - Real-time AI ↔️ System interaction
  • ⚙️ Safe Execution - Built-in command filtering and validation
  • 🧱 Modular Design - Plugin-based architecture
  • 🧪 ML Integration - Machine learning for predictive automation

🧭 Automation Categories

Category Description Examples
🖥️ System Control Process, registry, services management Kill processes, manage services, registry edits
📁 File Operations File system automation Copy, move, search, backup files
🌐 Web Automation Browser control and web scraping Form filling, data extraction, navigation
🖼️ Image Processing Screenshot and image manipulation OCR, image editing, screen capture
📊 Data Analysis ML training and data processing Model training, data visualization
🏢 Office Integration Microsoft Office automation Excel reports, Word documents, PowerPoint
🔒 Security System security and monitoring Firewall rules, security scans, monitoring
🌐 Network Network configuration and monitoring WiFi management, network diagnostics

🛠️ Example Commands

Once integrated with Claude Desktop, you can use natural language:

"Take a screenshot and save it as desktop.png"
"Get my system information"
"List all running processes"
"Create a backup of my Documents folder"
"Check my network connection status"
"Open Calculator application"

📁 Project Structure

mcp-windows-server/
├── mcp_windows_automation/     # Main package
│   └── __init__.py
├── unified_server.py           # Core MCP server
├── office_mcp_server.py        # Office integration
├── config/                     # Configuration templates
├── docs/                       # Documentation
├── examples/                   # Usage examples
├── requirements.txt            # Dependencies
└── README.md                   # This file

🔧 Configuration

Environment Variables

# Optional MySQL database integration
MYSQL_USER=your_username
MYSQL_PASSWORD=your_password
MYSQL_DATABASE=your_database
MYSQL_HOST=localhost
MYSQL_PORT=3306

# Python configuration
PYTHONPATH=/path/to/mcp-windows-server
PYTHONUNBUFFERED=1

Advanced Configuration

For advanced setups, copy the configuration template:

cp config/claude_desktop_config.template.json config/claude_desktop_config.json
# Edit with your specific paths and credentials

🧪 Development

Running from Source

git clone https://github.com/Mahipal/mcp-windows-server.git
cd mcp-windows-server
pip install -r requirements.txt
python unified_server.py

Building Package

python -m build
pip install dist/mcp_windows_server-*.whl

🔒 Security

  • Command Filtering: Dangerous commands are blocked by default
  • Safe Execution: All operations run in controlled environment
  • No Credential Storage: Sensitive data excluded from package
  • Template-Based Config: Only safe configuration templates included

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

📬 Contact

🙏 Acknowledgments

  • Anthropic for the Model Context Protocol
  • Claude for AI assistant integration
  • The open-source community for inspiration and contributions

"Automate Everything. With AI." 🧠💻

Made with ❤️ for the AI automation community

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选