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Windows Developer MCP Server

Windows Developer MCP Server

Glama Indexed CI Pipeline License: MIT Python 3.12+ FastMCP v2.0+ Ruff Basedpyright

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


โšก 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

๐Ÿค– 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"
      }
    }
  }
}

๐Ÿ’ป 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"
      }
    }
  }
}

Related MCP server: allcanuse-mcp

๐Ÿ”ฅ Key Features

  • ๐Ÿ›ก๏ธ Workspace-Confined & Sandboxed: All commands are executed securely with strict path normalization, denylists, and audit logging.

  • โšก 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.

  • ๐Ÿงฐ 40+ Developer Tools across 12 Modules: Terminal, Git, GitHub, Docker, Filesystem, Python, Node, SQLite, Windows, Network, Browser, and AI Project Analysis.


๐Ÿงฐ Available Tool Modules

Module

Core Tools Exposed

Description

Terminal

terminal_run, terminal_get_session

Safe PowerShell & CMD subprocess execution.

Filesystem

filesystem_read, filesystem_write, filesystem_list

Workspace-restricted file & directory operations.

Git

git_status, git_log, git_diff, git_commit, git_push

Git branch, commit, diff, and remote management.

GitHub

github_auth_status, github_repo_info, github_list_issues, github_list_prs

GitHub API for repos, PRs, issues, and releases.

Docker

docker_list_containers, docker_logs, docker_run, docker_build

Container, image, and Compose orchestration.

Python

python_run, python_check_package, python_install_package

Virtual environment management & execution.

Node.js

node_run, npm_run, npm_install

Node.js script execution & npm package management.

SQLite

sqlite_query, sqlite_schema, sqlite_list_tables, sqlite_execute

Database queries & schema inspection.

Windows

windows_system_info, windows_list_processes, windows_get_env

System metrics, process list, and environment vars.

Network

network_ping, network_dns_lookup, network_port_scan

Network diagnostics & connectivity checks.

Project (AI)

project_analyze, project_security_scan, project_generate_readme

Tech stack detection, security audit, & code gen.

Browser

browser_open_url, browser_fetch_page, browser_extract_text

Web page fetching & clean text extraction.


๐Ÿง  AI-Native Project Analysis Tools

ProjectProvider provides intelligent tools designed specifically for codebase comprehension:

  • ๐Ÿ” project_analyze: Auto-detects frameworks, tech stacks, and entry points.

  • ๐Ÿ›ก๏ธ project_security_scan: Static audit for hardcoded API keys, tokens, and credentials.

  • ๐ŸŒณ project_summarize: Hierarchical directory tree generator.

  • ๐Ÿ“ฆ project_dependencies: Cross-language dependency analysis.

  • ๐Ÿ“ project_generate_readme: Drafts a complete README.md based on codebase analysis.

  • ๐Ÿงช project_generate_tests: Generates pytest unit test skeletons for source files.


๐Ÿ›ก๏ธ 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.


๐Ÿ“š Documentation Suite


๐Ÿ“„ License

Distributed under the MIT License. See LICENSE for details.

Install Server
A
license - permissive license
B
quality
B
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Maintenance

โ€“Maintainers
โ€“Response time
โ€“Release cycle
โ€“Releases (12mo)
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