MCP Image Extractor
Extracts images from files, URLs, or base64 strings and converts them to base64 for LLM analysis.
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 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.
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 datamime_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
Related Servers
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Authless Remote MCP Server on Cloudflare
An example of a remote MCP server deployable on Cloudflare Workers without authentication.
Starwind UI
A server providing tools for developers working with Starwind UI components.
DevContext
Provides developers with continuous, project-centric context awareness. Requires a TursoDB database.
Tinyman MCP
An MCP server for the Tinyman protocol on the Algorand blockchain, offering tools for swaps, liquidity provision, and pool management.
mcp-nodejs
A Node.js MCP server example for the OpenWeather API, requiring an API key.
MCP Server Demonstration
A demonstration on setting up and using MCP servers within Cursor, with Docker examples.
All-in-MCP
Provides utility functions for common tasks like text processing, encoding, decoding, hashing, and system information.
Package Version Check
Returns the latest package / dependency / tool versions for Python, NPM, Go, Docker, Helm, etc.
API Tester
This MCP Server accepts swagger/postman documents as input. It then generates API & Load test scenarios, executes the tests and generates the execution report.
Jenkins API MCP Server
A server for managing Jenkins jobs through its REST API, including operations like building, configuration, and information retrieval.