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MCP Images
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MCP Images

An MCP server that provides image acquisition and processing functions, supporting image loading from URLs, local paths, and numpy arrays, and returning base64 encoding and MIME types.
Image and video processingDeveloper tools#Image Processing#MCP Service#Multi-source Loading.Python
2.5 points
9.4K
Open Site

Overview

Installation

Content Details

Alternatives

What is MCP Image Server?

MCP Image Server is an intelligent image processing service that can obtain images from Internet URLs or your local computer and automatically perform optimization processing. It is particularly suitable for scenarios that require batch image processing.

How to use MCP Image Server?

You only need to provide the URLs or local paths of the images, and the server will automatically acquire and process these images. The processed images will be returned in an optimized format, suitable for use in various applications.

Use Cases

Suitable for work scenarios such as content creation, data analysis, and web development that require processing a large number of images. Particularly suitable for processing image collections from different sources.

Main Features

Multi-source Image Acquisition
Supports image acquisition from web URLs and local file systems
Intelligent Image Optimization
Automatically detects and compresses large-sized images (>1MB), reducing file size while maintaining quality
Batch Processing Capability
Can process multiple images simultaneously, significantly improving work efficiency
Comprehensive Format Support
Supports multiple common image formats such as JPEG and PNG, and automatically identifies the correct file type
Advantages
Automatically processes images from different sources, simplifying the workflow
Intelligently optimizes large-file images without manual adjustment
Parallel processing capability significantly improves the speed of batch image processing
Detailed error prompts help quickly locate problems
Limitations
Ensure that the program has access permissions for local file paths
Processing very large images (>10MB) may take a long time
Some special-format images may require additional processing

How to Use

Installation Preparation
Ensure that Python 3.10+ and the uv package manager are installed
Install Dependencies
Install the required software packages
Start the Server
Run the server program directly
Configuration Integration (Optional)
Add server configuration in IDEs such as Cursor or Windsurf

Usage Examples

Fetch Images from the Web
Fetch and process sample images from Wikipedia
Mixed-source Image Processing
Process images from both the web and local files simultaneously

Frequently Asked Questions

Why can't I load my local images?
What should I do if the processing speed is slow for large images?
Which image formats are supported?

Related Resources

Project Source Code
Access the latest source code on GitHub
Python Official Website
Get Python installation packages and documentation
uv Package Manager
A fast Python package installation tool

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "image": {
      "command": "uv",
        "args": ["--directory", "/path/to/mcp-image", "run", "mcp_image.py"]
    }
  }
}

{
  "mcpServers": {
    "image": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-image", "run", "mcp_image.py"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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