MCP Image Extractor

MCP server for extracting and converting images to base64 for LLM analysis.

This MCP server provides tools for AI assistants to:

• Extract images from local files
• Extract images from URLs
• Process base64-encoded images

How it looks in Cursor:

Suitable cases:

• analyze playwright test results: screenshots

For Cursor or Other Clients

Manual Installation

This will make the mcp-image-extractor command available globally.

Using .cursor/mcp.json file

For local development or when working in a specific project, you can add a .cursor/mcp.json file in your project root:

Or, if you've installed via npm link:

Important Note for Cursor Users: If you see "Failed to create client" error, try these alternatives:

Option 1: Use direct GitHub installation

git clone https://github.com/ifmelate/mcp-image-extractor.git cd mcp-image-extractor npm install npm run build npm link

Then configure in .cursor/mcp.json:

{ "mcpServers": { "image-extractor": { "command": "mcp-image-extractor", "disabled": false } } }

Option 2: Clone and run locally

git clone https://github.com/ifmelate/mcp-image-extractor.git cd mcp-image-extractor npm install npm run build

Then configure in .cursor/mcp.json:

{ "mcpServers": { "image-extractor": { "command": "node", "args": ["/full/path/to/mcp-image-extractor/dist/index.js"], "disabled": false } } }

Available Tools

extract_image_from_file

Extracts an image from a local file and converts it to base64.

Parameters:

• file_path (required): Path to the local image file

Note: All images are automatically resized to optimal dimensions (max 512x512) for LLM analysis to limit the size of the base64 output and optimize context window usage.

extract_image_from_url

Extracts an image from a URL and converts it to base64.

Parameters:

• url (required): URL of the image to extract

Note: All images are automatically resized to optimal dimensions (max 512x512) for LLM analysis to limit the size of the base64 output and optimize context window usage.

extract_image_from_base64

Processes a base64-encoded image for LLM analysis.

Parameters:

• base64 (required): Base64-encoded image data
• mime_type (optional, default: "image/png"): MIME type of the image

Note: All images are automatically resized to optimal dimensions (max 512x512) for LLM analysis to limit the size of the base64 output and optimize context window usage.

Example Usage

Here's an example of how to use the tools from Claude:

Claude will automatically use the extract_image_from_file tool to load and analyze the image content.

Claude will automatically use the extract_image_from_url tool to fetch and analyze the image content.

Docker

Build and run with Docker:

License

MIT