Puppeteer MCP Server

Puppeteer MCP Server

Enables LLMs to perform browser automation including web navigation, element interaction, and screenshot capture using Puppeteer. It provides capabilities for executing JavaScript in the browser and monitoring console logs for debugging and data extraction.

Category
Visit Server

README

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.

[!CAUTION] This server can access local files and local/internal IP addresses since it runs a browser on your machine. Exercise caution when using this MCP server to ensure this does not expose any sensitive data.

Components

Tools

  • puppeteer_navigate

    • Navigate to any URL in the browser
    • Inputs:
      • url (string, required): URL to navigate to
      • launchOptions (object, optional): PuppeteerJS LaunchOptions. Default null. If changed and not null, browser restarts. Example: { headless: true, args: ['--user-data-dir="C:/Data"'] }
      • allowDangerous (boolean, optional): Allow dangerous LaunchOptions that reduce security. When false, dangerous args like --no-sandbox, --disable-web-security will throw errors. Default false.
  • puppeteer_screenshot

    • Capture screenshots of the entire page or specific elements
    • Inputs:
      • name (string, required): Name for the screenshot
      • selector (string, optional): CSS selector for element to screenshot
      • width (number, optional, default: 800): Screenshot width
      • height (number, optional, default: 600): Screenshot height
      • encoded (boolean, optional): If true, capture the screenshot as a base64-encoded data URI (as text) instead of binary image content. Default false.
  • 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 field
      • value (string): Value to fill
  • puppeteer_select

    • Select an element with SELECT tag
    • Inputs:
      • selector (string): CSS selector for element to select
      • value (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:

  1. Console Logs (console://logs)

    • Browser console output in text format
    • Includes all console messages from the browser
  2. 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)
  • Customizable Puppeteer launch options

Configuration to use Puppeteer Server

Usage with Claude Desktop

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"]
    }
  }
}

Usage with VS Code

For quick installation, use one of the one-click install buttons below...

Install with NPX in VS Code Install with NPX in VS Code Insiders

Install with Docker in VS Code Install with Docker in VS Code Insiders

For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).

Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.

Note that the mcp key is not needed in the .vscode/mcp.json file.

For NPX installation (opens a browser window):

{
  "mcp": {
    "servers": {
      "puppeteer": {
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-puppeteer"]
      }
    }
  }
}

For Docker installation (uses headless chromium):

{
  "mcp": {
    "servers": {
      "puppeteer": {
        "command": "docker",
        "args": [
          "run",
          "-i",
          "--rm",
          "--init",
          "-e",
          "DOCKER_CONTAINER=true",
          "mcp/puppeteer"
        ]
      }
    }
  }
}

Launch Options

You can customize Puppeteer's browser behavior in two ways:

  1. Environment Variable: Set PUPPETEER_LAUNCH_OPTIONS with a JSON-encoded string in the MCP configuration's env parameter:

    {
      "mcpServers": {
        "mcp-puppeteer": {
          "command": "npx",
          "args": ["-y", "@modelcontextprotocol/server-puppeteer"],
          "env": {
            "PUPPETEER_LAUNCH_OPTIONS": "{ \"headless\": false, \"executablePath\": \"C:/Program Files/Google/Chrome/Application/chrome.exe\", \"args\": [] }",
            "ALLOW_DANGEROUS": "true"
          }
        }
      }
    }
    
  2. Tool Call Arguments: Pass launchOptions and allowDangerous parameters to the puppeteer_navigate tool:

    {
      "url": "https://example.com",
      "launchOptions": {
        "headless": false,
        "defaultViewport": { "width": 1280, "height": 720 }
      }
    }
    

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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured