puppeteer-mcp-server
by AnyContext-ai
What is puppeteer-mcp-server
Puppeteer MCP Server
This MCP server provides browser automation capabilities through Puppeteer, allowing interaction with both new browser instances and existing Chrome windows.
Acknowledgment
This project is an experimental implementation inspired by @modelcontextprotocol/server-puppeteer. While it shares similar goals and concepts, it explores alternative approaches to browser automation through the Model Context Protocol.
Features
- Navigate web pages
- Take screenshots
- Click elements
- Fill forms
- Select options
- Hover elements
- Execute JavaScript
- Smart Chrome tab management:
- Connect to active Chrome tabs
- Preserve existing Chrome instances
- Intelligent connection handling
Project Structure
/
โโโ src/
โ โโโ config/ # Configuration modules
โ โโโ tools/ # Tool definitions and handlers
โ โโโ browser/ # Browser connection management
โ โโโ types/ # TypeScript type definitions
โ โโโ resources/ # Resource handlers
โ โโโ server.ts # Server initialization
โโโ index.ts # Entry point
โโโ README.md # Documentation
Installation
Option 1: Install from npm
npm install -g puppeteer-mcp-server
You can also run it directly without installation using npx:
npx puppeteer-mcp-server
Option 2: Install from source
- Clone this repository or download the source code
- Install dependencies:
npm install
- Build the project:
npm run build
- Run the server:
npm start
MCP Server Configuration
To use this tool with Claude, you need to add it to your MCP settings configuration file.
For Claude Desktop App
Add the following to your Claude Desktop configuration file (located at %APPDATA%\Claude\claude_desktop_config.json
on Windows or ~/Library/Application Support/Claude/claude_desktop_config.json
on macOS):
If installed globally via npm:
{
"mcpServers": {
"puppeteer": {
"command": "puppeteer-mcp-server",
"args": [],
"env": {}
}
}
}
Using npx (without installation):
{
"mcpServers": {
"puppeteer": {
"command": "npx",
"args": ["-y", "puppeteer-mcp-server"],
"env": {}
}
}
}
If installed from source:
{
"mcpServers": {
"puppeteer": {
"command": "node",
"args": ["path/to/puppeteer-mcp-server/dist/index.js"],
"env": {
"NODE_OPTIONS": "--experimental-modules"
}
}
}
}
For Claude VSCode Extension
Add the following to your Claude VSCode extension MCP settings file (located at %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
on Windows or ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
on macOS):
If installed globally via npm:
{
"mcpServers": {
"puppeteer": {
"command": "puppeteer-mcp-server",
"args": [],
"env": {}
}
}
}
Using npx (without installation):
{
"mcpServers": {
"puppeteer": {
"command": "npx",
"args": ["-y", "puppeteer-mcp-server"],
"env": {}
}
}
}
If installed from source:
{
"mcpServers": {
"puppeteer": {
"command": "node",
"args": ["path/to/puppeteer-mcp-server/dist/index.js"],
"env": {
"NODE_OPTIONS": "--experimental-modules"
}
}
}
}
For source installation, replace path/to/puppeteer-mcp-server
with the actual path to where you installed this tool.
Usage
Standard Mode
The server will launch a new browser instance by default.
Active Tab Mode
To connect to an existing Chrome window:
-
Close any existing Chrome instances completely
-
Launch Chrome with remote debugging enabled:
# Windows "C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222 # macOS /Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222 # Linux google-chrome --remote-debugging-port=9222
-
Navigate to your desired webpage in Chrome
-
Connect using the
puppeteer_connect_active_tab
tool:{ "targetUrl": "https://example.com", // Optional: specific tab URL "debugPort": 9222 // Optional: defaults to 9222 }
The server will:
- Detect and connect to the Chrome instance running with remote debugging enabled
- Preserve your Chrome instance (won't close it)
- Find and connect to non-extension tabs
- Provide clear error messages if connection fails
Available Tools
puppeteer_connect_active_tab
Connect to an existing Chrome instance with remote debugging enabled.
- Optional:
targetUrl
- URL of the specific tab to connect todebugPort
- Chrome debugging port (default: 9222)
puppeteer_navigate
Navigate to a URL.
- Required:
url
- The URL to navigate to
puppeteer_screenshot
Take a screenshot of the current page or a specific element.
- Required:
name
- Name for the screenshot - Optional:
selector
- CSS selector for element to screenshotwidth
- Width in pixels (default: 800)height
- Height in pixels (default: 600)
puppeteer_click
Click an element on the page.
- Required:
selector
- CSS selector for element to click
puppeteer_fill
Fill out an input field.
- Required:
selector
- CSS selector for input fieldvalue
- Text to enter
puppeteer_select
Use dropdown menus.
- Required:
selector
- CSS selector for select elementvalue
- Option value to select
puppeteer_hover
Hover over elements.
- Required:
selector
- CSS selector for element to hover
puppeteer_evaluate
Execute JavaScript in the browser console.
- Required:
script
- JavaScript code to execute
Security Considerations
When using remote debugging:
- Only enable on trusted networks
- Use a unique debugging port
- Close debugging port when not in use
- Never expose debugging port to public networks
Logging and Debugging
File-based Logging
The server implements comprehensive logging using Winston:
- Location:
logs/
directory - File Pattern:
mcp-puppeteer-YYYY-MM-DD.log
- Log Rotation:
- Daily rotation
- Maximum size: 20MB per file
- Retention: 14 days
- Automatic compression of old logs
Log Levels
- DEBUG: Detailed debugging information
- INFO: General operational information
- WARN: Warning messages
- ERROR: Error events and exceptions
Logged Information
- Server startup/shutdown events
- Browser operations (launch, connect, close)
- Navigation attempts and results
- Tool executions and outcomes
- Error details with stack traces
- Browser console output
- Resource usage (screenshots, console logs)
Error Handling
The server provides detailed error messages for:
- Connection failures
- Missing elements
- Invalid selectors
- JavaScript execution errors
- Screenshot failures
Each tool call returns:
- Success/failure status
- Detailed error message if failed
- Operation result data if successful
All errors are also logged to the log files with:
- Timestamp
- Error message
- Stack trace (when available)
- Context information
Contributing
Contributions are welcome! Please read our Contributing Guidelines for details on how to submit pull requests, report issues, and contribute to the project.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Leave a Comment
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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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