Advanced Model Context Protocol server enabling AI-powered Windows UI automation, browser control, screenshot analysis, and system interaction through a Python API for seamless integration and enhanced application development.
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If you are looking for the Python Library, go on.. ;)
This is the official Python library implementation for Smooth Operator Agent Tools, a state-of-the-art toolkit for programmers developing Computer Use Agents on Windows systems.
The Smooth Operator Agent Tools are a powerful toolkit that handles the complex tasks of interacting with the Windows Automation Tree and Playwright browser control, while providing advanced AI functions such as identifying UI elements through screenshots and textual descriptions.
This Python library provides a convenient wrapper around the Smooth Operator Tools Server API, allowing you to easily integrate these capabilities into your Python applications.
All features can be tested and explored through a convenient Windows user interface before implementing them in code. Try them out at Smooth Operator Tools UI.
pip install smooth-operator-agent-tools
The Smooth Operator Agent Tools library requires Google Chrome (or a compatible Chromium-based browser) to be installed on the system for browser automation features to work.
The Smooth Operator client library includes a server component that needs to be installed in your application data directory. The server files are packaged with the library and will be automatically extracted on first use.
When you first use the library, it will automatically:
%APPDATA%\SmoothOperator\AgentToolsServer (or the equivalent on your OS)Note that for Chrome automation features to work, you need to ensure Node.js and Playwright are installed as described in the Prerequisites section.
If you're building an application installer that includes this library, you should include steps to install Node.js and Playwright during your application's installation process for better user experience. See the Prerequisites section for the required installation steps.
from smooth_operator_agent_tools import SmoothOperatorClient # Initialize the client with your API key, get it for free at https://screengrasp.com/api.html client = SmoothOperatorClient(api_key="YOUR_API_KEY") # Start the Server - this takes a moment client.start_server() # Take a screenshot screenshot = client.screenshot.take() # Get system overview overview = client.system.get_overview() # Perform a mouse click client.mouse.click(500, 300) # Find and click a UI element by description client.mouse.click_by_description("Submit button") # Type text client.keyboard.type("Hello, world!") # Control Chrome browser client.chrome.open_chrome("https://www.example.com") client.chrome.get_dom() # You can also use the to_json_string() method on many objects # to get a JSON string that can easily be used in a prompt to a LLM # to utilize AI even more for automated decision making
For detailed API documentation, visit:
This project is licensed under the MIT License - see the LICENSE file for details.
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