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Browser Ctl

A browser control MCP server based on Python Playwright and SSE Anthropic, providing a real-time web interaction toolset that supports functions such as JavaScript execution, URL access, and screenshot taking.
Browser automationDeveloper tools#Browser control#Web automation#Real-time interaction.Python
2 points
7.9K
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Overview

Content Details

Alternatives

What is Browser CTL MCP Server?

Browser CTL is a Model Context Protocol (MCP) server that uses Playwright technology to enable AI agents to control and operate the Chrome browser like humans. Through simple API calls, AI can perform browser operations such as accessing web pages, executing JavaScript code, and taking screenshots.

How to use Browser CTL?

After installation, the server can be started through a simple command line. AI agents can communicate with the server through the SSE (Server-Sent Events) protocol and send instructions to control browser behavior.

Applicable scenarios

Suitable for AI application scenarios that require automated browser operations, such as web data scraping, automated testing, and web content monitoring. Particularly suitable for AI agents that require real-time browser interaction.

Main features

Execute JavaScript
Execute any JavaScript code in the browser in real-time and return the result
Web page navigation
Control the browser to access a specified URL
Web page screenshot
Capture the current browser page and return a base64-encoded image
Browser control
Open/close the browser instance
Time control
Set the browser waiting time to simulate the rhythm of human operations
Advantages
Based on Playwright technology, supporting all functions of modern browsers
Lightweight Python implementation, easy to deploy
Real-time communication through the SSE protocol
Providing complete browser automation capabilities
Limitations
Currently only supports the Chrome browser
Requires installation of Playwright dependencies
The SSE protocol may not be suitable for all application scenarios

How to use

Install dependencies
First, you need to install Python and project dependencies
Install the browser
Download the browser binary files required by Playwright
Start the server
Run the main program to start the MCP server
Connect and use
Connect to the server endpoint through the SSE protocol for interaction

Usage examples

Web page screenshot
Let the AI agent get a screenshot of a specified web page
Data scraping
Extract specific data from a dynamic web page
Form auto-filling
Automatically fill in and submit a web form

Frequently Asked Questions

How to modify the server port?
Which browsers are supported?
How to improve the operation speed?
Does it support multiple browser instances?

Related resources

Playwright official documentation
Official documentation for the Playwright Python library
SSE protocol introduction
Explanation of the Server-Sent Events protocol on MDN
BitEval YouTube channel
Video tutorials on how to create AI agents
GitHub repository
Project source code and latest updates

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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