MCP Browser Automation Server
The MCP Browser Automation Server is a browser control tool based on REST API, supporting functions such as creating sessions, page navigation, taking screenshots, element operations, and real-time console log monitoring.
rating : 2 points
downloads : 11
What is MCP Browser Automation Server?
MCP is a powerful yet simple server that lets you automate web browsers remotely. It provides API endpoints to control browser sessions, interact with web pages, and monitor activities without writing complex scripts.How to use MCP?
Simply start the server, then send HTTP requests to create sessions and perform browser operations. You can also monitor browser console logs in real-time via WebSocket connections.Use Cases
Perfect for automated testing, web scraping, monitoring website changes, generating screenshots, and debugging web applications remotely.Key Features
Browser Session ControlCreate and manage multiple browser sessions independently
URL NavigationProgrammatically visit any webpage
Smart ScreenshotsCapture full pages or specific elements as images
Page InteractionClick elements and fill forms automatically
Real-time MonitoringWatch browser console logs via WebSocket connection
Pros and Cons
Advantages
Easy-to-use REST API interface
No need for complex browser automation scripts
Supports both full-page and element-specific operations
Real-time monitoring capability
Lightweight and fast
Limitations
Requires server setup and maintenance
Limited to browser-based automation
WebSocket connection needed for real-time logs
Getting Started
Install the Server
Set up the server environment on your machine
Start the Server
Launch the automation server
Create Your First Session
Make an API call to start a browser session
Practical Examples
Website MonitoringAutomatically check a website daily and capture screenshots for visual monitoring
Form TestingAutomate form submission with different test data
Frequently Asked Questions
How many browser sessions can I run simultaneously?
What browsers are supported?
Is authentication supported for password-protected sites?
Additional Resources
GitHub Repository
Source code and issue tracker
Playwright Documentation
Underlying browser automation library docs
REST API Tutorial
Introduction to REST API concepts
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points