Local Browser MCP Server

A Model Context Protocol (MCP) server that provides browser automation capabilities using Puppeteer, plus AI image generation using Google Gemini 2.0 Flash. This server allows you to control a local Chrome browser instance, take screenshots, perform interactions like clicking and typing, and generate custom images - perfect for testing websites and creating content with Cursor.

Features

• 🌐 Browser Navigation: Navigate to URLs, go back/forward, refresh pages

• 📸 Screenshots: Capture full page, viewport, or specific element screenshots

• 🖱️ Click Actions: Click on elements using CSS selectors

• ⌨️ Text Input: Type text into input fields and forms

• 📜 Scrolling: Scroll pages in any direction

• ⏳ Wait Operations: Wait for elements to appear

• 📊 Page Info: Get current page title, URL, and viewport information

• 🎨 AI Image Generation: Generate custom images using Google Gemini 2.0 Flash Preview

Related MCP server: Puppeteer MCP Server

Installation

1. Clone/Download this repository to your local machine

2. Install dependencies:

   npm install

3. Build the project:

   npm run build

4. Set up environment variables (for image generation): Create a .env file in the project root:

   GOOGLE_AI_KEY=your_google_ai_api_key_here

   Get your API key from Google AI Studio.

Usage with Cursor

Step 1: Start the HTTP Server

The recommended way to use this MCP server is through HTTP mode to avoid ES module compatibility issues:

npm run start:http

This starts the server on http://localhost:3045 and keeps it running.

Step 2: Configure MCP in Cursor

Create or update your cursor-mcp-config.json file with the following configuration:

{
  "mcpServers": {
    "local-browser": {
      "command": "node",
      "args": ["/absolute/path/to/your/project/mcp-http-bridge.js"],
      "env": {
        "NODE_ENV": "production"
      }
    }
  }
}

Important:

• Replace /absolute/path/to/your/project/ with the actual absolute path to your project directory

• The HTTP bridge (mcp-http-bridge.js) routes MCP requests to the HTTP server

• Make sure the HTTP server is running before using the tools in Cursor

Step 3: Restart Cursor

After updating the configuration, restart Cursor to load the new MCP server.

Step 4: Start Using the Tools

Once configured, you can use the following tools in Cursor:

Browser Navigation

• navigate_to_url - Navigate to any URL

• go_back - Go back in browser history

• go_forward - Go forward in browser history

• refresh_page - Refresh the current page

Screenshots & Visual Capture

• take_screenshot - Capture screenshots (full page, viewport, or specific elements)

Page Interactions

• click_element - Click on elements using CSS selectors

• type_text - Type text into input fields

• scroll_page - Scroll the page in any direction

• wait_for_element - Wait for elements to appear

Page Information

• get_page_info - Get current page title, URL, and viewport info

AI Image Generation

• generate_image - Generate custom images using Google Gemini 2.0 Flash Preview

Quick Start Example

Here's how to get started quickly:

1. Start the HTTP server:

   npm run start:http

2. In Cursor, try these commands:

   • "Navigate to google.com and take a screenshot"

   • "Generate an image of a sunset over mountains"

   • "Click on the search button and type 'hello world'"

Example Workflow

Here's a typical workflow when testing a website you've created:

1. Navigate to your local development server:

   Use navigate_to_url with "http://localhost:3000"

2. Take a screenshot to see the current state:

   Use take_screenshot to capture the full page

3. Interact with your website:

   Use click_element to click buttons
   Use type_text to fill out forms
   Use scroll_page to test scrolling behavior

4. Capture results:

   Use take_screenshot again to see changes

Tool Reference

navigate_to_url

Navigate the browser to a specific URL.

• url (required): The URL to navigate to

take_screenshot

Take a screenshot of the current page.

• fullPage (optional): Capture full page vs viewport only

• selector (optional): CSS selector to screenshot specific element

click_element

Click on an element specified by CSS selector.

• selector (required): CSS selector of element to click

• waitFor (optional): Milliseconds to wait after clicking (default: 1000)

type_text

Type text into an input field.

• selector (required): CSS selector of input element

• text (required): Text to type

• clear (optional): Clear field before typing (default: true)

wait_for_element

Wait for an element to appear on the page.

• selector (required): CSS selector to wait for

• timeout (optional): Timeout in milliseconds (default: 5000)

scroll_page

Scroll the page.

• direction (required): 'up', 'down', 'top', or 'bottom'

• amount (optional): Pixels to scroll for up/down (default: 500)

get_page_info

Get information about the current page (title, URL, viewport size).

refresh_page

Refresh the current page.

go_back

Navigate back in browser history.

go_forward

Navigate forward in browser history.

generate_image

Generate custom AI images using Google Gemini 2.0 Flash Preview.

• description (required): Text description of the image to generate

Generated images are automatically saved to the generated-images/ directory and can be downloaded via HTTP at http://localhost:3045/download/{filename}.

Development

• Build: npm run build

• Development mode: npm run dev (watches for changes)

• Start: npm start (visible browser) or npm run start:headless (background)

• HTTP Test Server: npm run start:http (visible) or npm run start:http:headless (background)

Browser Behavior

• Visible Mode: Browser window opens so you can see what's happening

• Headless Mode: Browser runs in background (set MCP_HEADLESS=true)

• Separate Profile: Uses /tmp/chrome-mcp-data to avoid conflicts with your main Chrome

• Default viewport: 1280x720 pixels

• Screenshots: Returned as base64-encoded PNG images

Troubleshooting

Browser doesn't launch

• Ensure Chrome is installed on your system

• Check that no other processes are blocking Chrome

• Try restarting the HTTP server: npm run start:http

• Clear Chrome data directory: rm -rf /private/tmp/chrome-mcp-data

Elements not found

• Verify CSS selectors are correct

• Use browser dev tools to test selectors

• Try waiting for elements to load with wait_for_element

MCP Tools not available in Cursor

• Ensure the HTTP server is running: npm run start:http

• Check that cursor-mcp-config.json has the correct absolute path

• Restart Cursor after configuration changes

• Verify the HTTP bridge file exists: mcp-http-bridge.js

Image generation not working

• Ensure GOOGLE_AI_KEY is set in your .env file

• Get your API key from Google AI Studio

• Check that the HTTP server is running (image generation requires HTTP mode)

Permission issues

• Ensure the MCP server has permission to launch Chrome

• Check file permissions on the built JavaScript files

• On macOS, you may need to allow Chrome in System Preferences > Security & Privacy

Security Notes

• This server launches a real browser with full system access

• Only use with trusted websites and content

• The browser runs with some security features disabled for automation

• Always run in a controlled environment

License

MIT License - see LICENSE file for details.