Puppeteer MCP Server (Python Implementation)
LocalAbout Puppeteer MCP Server (Python Implementation)
Puppeteer MCP Server (Python Implementation) provides browser automation through Playwright, letting LLMs visit web pages, take screenshots, fill forms and run JavaScript in a real browser. It is a Python implementation of the server, with an emphasis on error handling and logging. It is a Python alternative to the TypeScript version.
Key features
- 01Page navigation with configurable timeouts
- 02Full-page and element screenshots
- 03Clicking and filling form fields
- 04Running JavaScript in the browser
- 05Capturing console logs
Use cases
- 01Letting an LLM open a web page and inspect its content
- 02Capturing full-page or element screenshots automatically
- 03Filling in and interacting with web forms
MCP support
This project is an MCP server that exposes browser operations such as navigation, screenshots, clicks, form filling and script execution to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPuppeteer MCP Server (Python Implementation)
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.
Overview
This Python implementation provides a stable alternative to the TypeScript version, offering the same capabilities with improved error handling and logging. It uses Playwright, which is the Python equivalent to Puppeteer, providing robust browser automation capabilities.
Key Features
- 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
Prerequisites
- Python 3.8+
- pip (Python package installer)
Installation
- Install the required packages:
pip install -r requirements.txt
- Install Playwright browsers:
playwright install
Usage
Starting the Server
Run the server directly:
python puppeteer_server.py
Claude Desktop Configuration
Add this to your Claude configuration file:
{
"mcpServers": {
"puppeteer": {
"command": "python",
"args": ["path/to/puppeteer.py"]
}
}
}
Available Tools
puppeteer_navigate
Navigate to any URL in the browser.
{
"name": "puppeteer_navigate",
"arguments": {
"url": "https://example.com",
"timeout": 60000 // optional, defaults to 60000ms
}
}
puppeteer_screenshot
Capture screenshots of the entire page or specific elements.
{
"name": "puppeteer_screenshot",
"arguments": {
"name": "my_screenshot",
"selector": "#specific-element", // optional
"width": 1280, // optional, default: 1280
"height": 720, // optional, default: 720
"timeout": 30000 // optional, defaults to 30000ms
}
}
puppeteer_click
Click elements on the page.
{
"name": "puppeteer_click",
"arguments": {
"selector": ".button-class",
"timeout": 30000 // optional, defaults to 30000ms
}
}
puppeteer_fill
Fill out input fields.
{
"name": "puppeteer_fill",
"arguments": {
"selector": "#input-id",
"value": "text to fill",
"timeout": 30000 // optional, defaults to 30000ms
}
}
puppeteer_evaluate
Execute JavaScript in the browser console.
{
"name": "puppeteer_evaluate",
"arguments": {
"script": "document.title",
"timeout": 30000 // optional, defaults to 30000ms
}
}
Error Handling
The server provides detailed error messages for common scenarios:
- Navigation failures
- Element not found
- Timeout errors
- JavaScript execution errors
- Screenshot failures
Logging
Comprehensive logging is implemented with different levels:
- INFO: Standard operations
- ERROR: Operation failures
- DEBUG: Detailed execution information
Notes
- Browser launches in non-headless mode for better debugging
- Default viewport size is 1280x720
- All timeouts are configurable
- Console logs are captured and stored
- Screenshots are stored in memory with base64 encoding
Contributing
Contributions are welcome! Please read the repository's contributing guidelines before submitting pull requests.
Author
Todd Wolven - Lead AI Software Developer and open-source GenAI engineer
License
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.