Puppeteer MCP Server (Python)
by MCP-Mirror
A Model Context Protocol server that provides browser automation capabilities using Playwright (Python's equivalent to Puppeteer). This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
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What is Puppeteer MCP Server (Python)?
This is a Python implementation of a Model Context Protocol (MCP) server that uses Playwright to provide browser automation capabilities. It allows Large Language Models (LLMs) to interact with web pages programmatically.
How to use Puppeteer MCP Server (Python)?
First, install the required Python packages using pip install -r requirements.txt and then install Playwright browsers with playwright install. Start the server by running python puppeteer_server.py. Configure your Claude desktop application by adding the server details to the mcpServers section of your Claude configuration file.
Key features of Puppeteer MCP Server (Python)
Full browser automation
Page navigation
Screenshot capture (full page or elements)
Form interaction (clicking and filling)
JavaScript execution
Console log monitoring
Configurable timeouts
Detailed error handling
Comprehensive logging
Use cases of Puppeteer MCP Server (Python)
Automated web scraping
Testing web applications
Generating website screenshots
Interacting with web forms programmatically
FAQ from Puppeteer MCP Server (Python)
What is the default viewport size?
What is the default viewport size?
The default viewport size is 1280x720.
Are timeouts configurable?
Are timeouts configurable?
Yes, all timeouts are configurable.
Where are screenshots stored?
Where are screenshots stored?
Screenshots are stored in memory with base64 encoding.
What kind of error handling is implemented?
What kind of error handling is implemented?
The server provides detailed error messages for navigation failures, element not found errors, timeout errors, JavaScript execution errors, and screenshot failures.
What logging levels are available?
What logging levels are available?
Comprehensive logging is implemented with different levels: INFO, ERROR, and DEBUG.