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mcp-image-extractor
MCP server which allow LLM in agent mode to analyze image whenever it needs
3 years
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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
# 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.
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:
{
"mcpServers": {
"image-extractor": {
"command": "node",
"args": ["/full/path/to/mcp-image-extractor/dist/index.js"],
"disabled": false
}
}
}
Or, if you've installed via npm link:
{
"mcpServers": {
"image-extractor": {
"command": "mcp-image-extractor",
"disabled": false
}
}
}
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:
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.
Docker
Build and run with Docker:
docker build -t mcp-image-extractor .
docker run -p 8000:8000 mcp-image-extractor
License
MIT
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Reviews

user_eMNAq3Ri
The Genesis MCP Server by dustland is simply outstanding. Its stability and performance exceed my expectations, offering seamless integration and robust features for any application. I am particularly impressed with its user-friendly configuration and exceptional support. Highly recommended for anyone seeking a reliable MCP server solution. Check it out at https://mcp.so/server/genesis-mcp/dustland!