mcp-image-extractor
MCP server which allow LLM in agent mode to analyze image whenever it needs
Documentation
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
Installation
Recommended: Using npx in mcp.json (Easiest)
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
Alternative: Local Path Installation
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
}
}
}Manual Installation
# Clone and install
git clone https://github.com/ifmelate/mcp-image-extractor.git
cd mcp-image-extractor
npm install
npm run build
npm linkThis 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.
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:
Please extract the image from this local file: images/photo.jpgClaude 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.jpgClaude will automatically use the `extract_image_from_url` tool to fetch and analyze the image content.
Docker
Build and run with Docker:
docker build -t mcp-image-extractor .
docker run -p 8000:8000 mcp-image-extractorLicense
MIT
Frequently asked questions
What is mcp-image-extractor?
mcp-image-extractor is MCP server which allow LLM in agent mode to analyze image whenever it needs
How do I install mcp-image-extractor?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is mcp-image-extractor open source?
Yes — it is hosted on GitHub at https://github.com/ifmelate/mcp-image-extractor and has 21 stars.
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