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Mcp Image Extractor
What is Mcp Image Extractor
MCP Image Extractor is an MCP server designed to extract and convert images to base64 format for analysis by large language models (LLMs) in agent mode.
Use cases
Use cases include analyzing playwright test results where screenshots need to be processed, enabling AI assistants to provide insights based on visual data.
How to use
To use MCP Image Extractor, clone the repository from GitHub, install the necessary dependencies, and build the project. You can also configure it in your project using a .cursor/mcp.json file to specify the command for running the server.
Key features
Key features include the ability to extract images from local files, extract images from URLs, and process base64-encoded images, making it versatile for various applications.
Where to use
MCP Image Extractor can be used in fields such as software testing, particularly for analyzing test results that include screenshots, as well as in any application requiring image analysis by LLMs.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Image Extractor
MCP Image Extractor is an MCP server designed to extract and convert images to base64 format for analysis by large language models (LLMs) in agent mode.
Use cases
Use cases include analyzing playwright test results where screenshots need to be processed, enabling AI assistants to provide insights based on visual data.
How to use
To use MCP Image Extractor, clone the repository from GitHub, install the necessary dependencies, and build the project. You can also configure it in your project using a .cursor/mcp.json file to specify the command for running the server.
Key features
Key features include the ability to extract images from local files, extract images from URLs, and process base64-encoded images, making it versatile for various applications.
Where to use
MCP Image Extractor can be used in fields such as software testing, particularly for analyzing test results that include screenshots, as well as in any application requiring image analysis by LLMs.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










