ifmelate 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

The recommended way to install this MCP server is using npx directly in your .cursor/mcp.json file:

{
  "mcpServers": {
    "image-extractor": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-image-extractor"
      ]
    }
  }
}

This approach:

• Automatically installs the latest version
• Does not require global installation
• Works reliably across different environments

If you prefer to use a local installation of the package, you can clone the repository and point to the built files:

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

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

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

Then configure in .cursor/mcp.json:

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

Troubleshooting for Cursor Users: If you see "Failed to create client" error, try the local path installation method above or ensure you're using the correct path to the executable.

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.

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.

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.

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

Please extract the image from this local file: images/photo.jpg

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

Please extract the image from this URL: https://example.com/image.jpg

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

Build and run with Docker:

docker build -t mcp-image-extractor .
docker run -p 8000:8000 mcp-image-extractor

MIT