Glasses MCP: Let Your AI See the Web 👓

Your AI assistant is a powerful partner, capable of processing immense amounts of text and code. But when it comes to the visual web, it's flying blind. It can't see the layout of a competitor's landing page, the design of a complex dashboard, or the look of your latest prototype.

Glasses MCP gives it sight.

It's a simple tool that allows your AI to request a perfect, device-specific screenshot of any website. It's not just about taking pictures; it's about giving your AI the context it's been missing, turning the visual web into a resource it can finally understand and interact with.

Table of Contents

• Features

• Installation

  • Method 1: Desktop Extension

  • Method 2: Manual JSON Configuration

• Usage

  • Example Prompts

  • Tool Reference:

  • Supported Devices

  • Error Handling

  • Limitations

• Development & Contributing

Features

• Capture any URL: Take a screenshot of any public website or local development server.

• Device Emulation: See how a site looks on a variety of popular phones, tablets, and laptops.

• Selectable Format: Choose between png and jpeg image formats.

• Full Page or Viewport: Capture the entire scrollable page or just the visible viewport.

• Structured Output: Returns a clear JSON object indicating success or failure.

Installation

You can install Glasses MCP in two ways, depending on your preference and client application.

Method 1: Desktop Extension

This is the easiest way to get started. It allows for one-click installation in compatible clients like Claude Code.

1. Download the latest .

2. Open the .dxt file with your client application. The client will handle the rest.

Method 2: Manual JSON Configuration

This method uses npx to download and run the package on-demand. It's ideal for command-line usage or for developers who prefer not to install the extension directly.

To use this method, add the following JSON to your client's configuration file:

Configuration File Locations:

• For Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json

• For Gemini CLI: ~/.gemini/settings.json

• For Cursor IDE: Your user settings.json file.

Usage

Once integrated, you can use prompts like these with your AI assistant.

Example Prompts

Here are a few examples of how you can use Glasses MCP.

For a straightforward capture of a homepage, where the AI can infer the filename:

"Take a screenshot of github.com and save it to my desktop."

To specify a different image format and save location:

"Get a JPEG screenshot of the latest news on bbc.com/news and save it in my downloads folder."

To see how a website looks on a mobile device, specifying the exact output filename:

"Capture the verge.com homepage as it would appear on a small iOS device and save it as verge-mobile.png."

To capture a local development server, focusing only on the visible portion of the page:

"Capture just the viewport of my local server at http://localhost:3000."

Tool Reference: screenshot

Supported Devices

The screenshot tool can optionally emulate a specific device, which sets the viewport size, pixel density, and user agent to match. We have curated a list of popular and representative devices to provide good coverage of the most common form factors while keeping the list manageable.

Returns: A JSON object indicating success or failure.

Error Handling

If the tool encounters an error (e.g., an invalid URL, a website that fails to load), it will return a JSON object with the isError flag set to true and a descriptive error message.

Limitations

• No Login/Authentication: The tool cannot log in to websites that require authentication. It can only capture publicly accessible content.

• Anti-Bot Measures: Some websites employ sophisticated anti-bot technologies that may block the tool from capturing a screenshot.

• Complex Interactions: The tool does not support complex interactions like clicking buttons, filling out forms, or scrolling to a specific element before taking a screenshot.

Development & Contributing

To contribute to this project:

1. Clone the repository: git clone https://github.com/gourraguis/glasses-mcp.git

2. Install dependencies: cd glasses-mcp && npm install

3. Build the project: npm run build

4. To test your local build, use the MCP Inspector:

   npx @modelcontextprotocol/inspector node dist/main.js