Puppeteer
by modelcontextprotocol
Browser automation and web scraping
What is Puppeteer
Puppeteer
A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
Components
Tools
-
puppeteer_navigate
- Navigate to any URL in the browser
- Input:
url
(string)
-
puppeteer_screenshot
- Capture screenshots of the entire page or specific elements
- Inputs:
name
(string, required): Name for the screenshotselector
(string, optional): CSS selector for element to screenshotwidth
(number, optional, default: 800): Screenshot widthheight
(number, optional, default: 600): Screenshot height
-
puppeteer_click
- Click elements on the page
- Input:
selector
(string): CSS selector for element to click
-
puppeteer_hover
- Hover elements on the page
- Input:
selector
(string): CSS selector for element to hover
-
puppeteer_fill
- Fill out input fields
- Inputs:
selector
(string): CSS selector for input fieldvalue
(string): Value to fill
-
puppeteer_select
- Select an element with SELECT tag
- Inputs:
selector
(string): CSS selector for element to selectvalue
(string): Value to select
-
puppeteer_evaluate
- Execute JavaScript in the browser console
- Input:
script
(string): JavaScript code to execute
Resources
The server provides access to two types of resources:
-
Console Logs (
console://logs
)- Browser console output in text format
- Includes all console messages from the browser
-
Screenshots (
screenshot://<name>
)- PNG images of captured screenshots
- Accessible via the screenshot name specified during capture
Key Features
- Browser automation
- Console log monitoring
- Screenshot capabilities
- JavaScript execution
- Basic web interaction (navigation, clicking, form filling)
Configuration to use Puppeteer Server
Here's the Claude Desktop configuration to use the Puppeter server:
Docker
NOTE The docker implementation will use headless chromium, where as the NPX version will open a browser window.
{
"mcpServers": {
"puppeteer": {
"command": "docker",
"args": ["run", "-i", "--rm", "--init", "-e", "DOCKER_CONTAINER=true", "mcp/puppeteer"]
}
}
}
NPX
{
"mcpServers": {
"puppeteer": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-puppeteer"]
}
}
}
Build
Docker build:
docker build -t mcp/puppeteer -f src/puppeteer/Dockerfile .
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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