Windows Developer MCP Server

Windows Developer MCP gives AI assistants (Claude Desktop, LM Studio, Cursor, etc.) safe, native developer superpowers on Windows — including terminal execution, Git/GitHub integration, Docker management, filesystem operations, and AI project diagnostics.

⚡ 1-Minute Quick Start

Step 1: Install uv

If you don't have uv installed, open PowerShell and run:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Step 2: Configure Your AI Client

🤖 Claude Desktop Setup

Edit %APPDATA%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "windows-developer-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\path\\to\\windows-developer-mcp",
        "run",
        "windows-developer-mcp"
      ],
      "env": {
        "MCP_SERVER__PROFILE": "developer",
        "MCP_WORKSPACE__PATH": "C:\\path\\to\\your\\project"
      }
    }
  }
}

💻 LM Studio / Local LLM Setup

Edit your LM Studio MCP server configuration:

{
  "mcpServers": {
    "windows-developer-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\path\\to\\windows-developer-mcp",
        "run",
        "windows-developer-mcp"
      ],
      "env": {
        "MCP_SERVER__PROFILE": "minimal",
        "MCP_WORKSPACE__PATH": "C:\\path\\to\\your\\project"
      }
    }
  }
}

🔥 Key Features

• 🛡️ Workspace-Confined & Sandboxed: All commands are executed securely with strict path normalization, denylists, and audit logging.
• ⚡ Dual-Profile Engine:
  • minimal: Optimized for Local LLMs (7B/8B) in LM Studio (<1.2K token context footprint).
  • developer: Ideal for Claude Desktop / GPT-4o (~3.8K token footprint).
  • full: Complete exposure for 70B+ LLMs & Glama Indexing.
• 🧰 40+ Developer Tools across 12 Modules: Terminal, Git, GitHub, Docker, Filesystem, Python, Node, SQLite, Windows, Network, Browser, and AI Project Analysis.

🧰 Available Tool Modules

🧠 AI-Native Project Analysis Tools

ProjectProvider provides intelligent tools designed specifically for codebase comprehension:

• 🔍 project_analyze: Auto-detects frameworks, tech stacks, and entry points.
• 🛡️ project_security_scan: Static audit for hardcoded API keys, tokens, and credentials.
• 🌳 project_summarize: Hierarchical directory tree generator.
• 📦 project_dependencies: Cross-language dependency analysis.
• 📝 project_generate_readme: Drafts a complete README.md based on codebase analysis.
• 🧪 project_generate_tests: Generates pytest unit test skeletons for source files.

🛡️ Safety & Security Features

1. Workspace Boundary Sandbox: Operations are strictly restricted to the specified workspace path (MCP_WORKSPACE__PATH).
2. Command Denylist: Blocks dangerous operations (format, shutdown, del /f /s /q, etc.).
3. Audit Logging: All executed actions are recorded in logs/audit.log.

📚 Documentation Suite

• 📐 Architecture Overview
• 🔌 Provider Reference
• 🛡️ Security Model
• 🤖 LM Studio Setup Guide
• 🖥️ Claude Desktop Setup Guide
• 🤝 Contributing Guide
• 📋 Glama Manifest (glama.json)
• 📜 Changelog

📄 License

Distributed under the MIT License. See LICENSE for details.