Opentym

A lightweight Model Context Protocol (MCP) HTTP server built with the official Python MCP SDK and Streamable HTTP transport. Designed to give AI assistants (Claude, Cursor, etc.) real tools to interact with your Windows machine.

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✨ Features

Tool	Description
exec	Run shell commands (cmd / PowerShell)
read_file	Read files with offset/limit pagination
write_file	Write or append to files
list_files	List directory contents
open_app	Open applications or URLs
get_system_info	CPU, RAM, disk, network info
screenshot	Capture the screen
clipboard	Read or write clipboard
send_notification	Windows toast notifications
web_search	Search the web via Brave API
web_fetch	Fetch and extract content from URLs
http_request	Generic HTTP client (GET/POST/etc.)
get_datetime	Current date & time
calculate	Safe math expression evaluator
get_weather	Weather by city name
browser_action	Full browser automation via Playwright
memory_search	Semantic search over memory files
memory_get	Read memory file snippets
memory_write	Append or write memory files

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🚀 Quick Start

1. Clone & setup

git clone https://github.com/doanhtuan123/mcp-server-python.git
cd mcp-server-python
python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
playwright install chromium

2. Run the server

python server.py

Server starts at: http://localhost:3458/mcp
Health check: http://localhost:3458/health

3. Public tunnel (optional)

Expose locally via Cloudflare Quick Tunnel:

python tunnel.py

The public URL is saved to data/tunnel-url.txt.

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⚙️ Configuration

Item	Default
Port	3458
Transport	Streamable HTTP
Browser	Chrome (Playwright)
Shell	cmd / powershell

To change the port, edit the port= value near the bottom of server.py.

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📦 Dependencies

mcp[cli]>=1.0.0
httpx>=0.27.0
beautifulsoup4>=4.12.0
playwright>=1.44.0

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🔌 Connect to Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-opentym": {
      "url": "http://localhost:3458/mcp"
    }
  }
}

Or with the public tunnel URL:

{
  "mcpServers": {
    "mcp-opentym": {
      "url": "https://<your-tunnel>.trycloudflare.com/mcp"
    }
  }
}

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🗂️ Project Structure

mcp-server-python/
├── server.py          # Main MCP server
├── tunnel.py          # Cloudflare Quick Tunnel helper
├── requirements.txt   # Python dependencies
├── data/              # Runtime data (logs, tunnel URL)
└── workspace/         # Shared file workspace for tools

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📄 License

MIT