About Zipic MCP Server
Zipic MCP Server is a Swift server for AI assistants that need to compress and optimize images. It offers quick and configurable compression, format conversion, resizing, and batch processing.
Key features
- 01Quick image compression
- 02Adjustable quality and dimensions
- 03JPEG, WebP, HEIC, AVIF, and PNG output
- 04Batch and directory processing
- 05Replace originals or save copies
Use cases
- 01Reduce images for website delivery
- 02Compress photo libraries to save storage
- 03Convert images between supported formats
- 04Resize and prepare image batches
MCP support
Exposes image compression tools to MCP clients, including quick compression and advanced options for quality, format, dimensions, and output location.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEZipic MCP Server
A Model Context Protocol server that provides image compression capabilities. This server enables LLMs to compress and optimize images through simple and advanced compression tools. This is a Swift implementation of a zipic MCP server using the MCP Swift SDK.
✨ Features
- Quick Image Compression: Rapidly compress images with default settings
- Advanced Compression: Fine-tune compression settings including quality level, format, and dimensions
- Multiple Format Support: Output images in JPEG, WebP, HEIC, AVIF, or PNG formats
- Batch Processing: Compress multiple images or entire directories at once
- Size Preservation Option: Choose to replace original files or save alongside them
Available Tools
-
quickCompress- Quickly compress images with default settingsurls(array, required): Array of file paths pointing to images or directories containing images
-
advancedCompress- Compress images with fine-tuned settingsurls(array, required): Array of file paths pointing to images or directories containing imageslevel(integer, optional): Compression level from 1-6 (1=highest quality, 6=maximum compression)format(string, optional): Output format ("original", "jpeg", "webp", "heic", "avif", "png")width(integer, optional): Target width for resizing (0 for auto-adjustment)height(integer, optional): Target height for resizing (0 for auto-adjustment)suffix(string, optional): Custom suffix for compressed file namesdirectory(string, optional): Output directory path for compressed images
Installation
Option 1: One-Line Installation (curl)
The easiest way to install is with the one-line installer, which automatically downloads the latest version and installs it to ~/.local/bin in your home directory:
curl -fsSL https://raw.githubusercontent.com/okooo5km/zipic-mcp-server/main/install.sh | bash
The installer will:
- Create
~/.local/binif it doesn't exist - Add this directory to your PATH (in .zshrc or .bashrc)
- Download and install the latest version
- Make the binary executable
Option 2: Build from Source
-
Clone the repository:
git clone https://github.com/okooo5km/zipic-mcp-server.git cd zipic-mcp-server -
Build the project:
swift build -c release -
Install the binary:
# Install to user directory (recommended, no sudo required) mkdir -p ~/.local/bin cp $(swift build -c release --show-bin-path)/zipic-mcp-server ~/.local/bin/Make sure
~/.local/binis in your PATH by adding to your shell configuration file:echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.zshrc # or ~/.bashrc source ~/.zshrc # or source ~/.bashrc
Command Line Arguments
The server supports the following command line arguments:
-h, --help: Display help information about the server, its usage, and available options-v, --version: Display the version number of the zipic-mcp-server
Example usage:
# Display help information
zipic-mcp-server --help
# Display version information
zipic-mcp-server --version
Configure for Claude.app
Add to your Claude settings:
"mcpServers": {
"zipic": {
"command": "zipic-mcp-server"
}
}
Configure for Cursor
Add the following configuration to your Cursor editor's Settings - mcp.json:
{
"mcpServers": {
"zipic": {
"command": "zipic-mcp-server"
}
}
}
Example System Prompt
You can use the following system prompt to help Claude utilize the zipic-mcp-server effectively:
You have access to an image compression tool through MCP. Use this to help users:
- Compress single images or batches of images
- Reduce file size while maintaining quality
- Convert between image formats
- Resize images to specific dimensions
Use the following tools appropriately:
- `quickCompress` for simple compression tasks with default settings
- `advancedCompress` when the user needs fine-grained control over quality, format, and dimensions
Ask for absolute file paths to images when the user wants to compress files.
Development Requirements
- Swift 6.0 or later
- macOS 14.0 or later
- MCP Swift SDK 0.2.0 or later
Usage Examples
Quick Compression
{
"urls": [
"/Users/username/Desktop/photo.jpg",
"/Users/username/Pictures/vacation"
]
}
Advanced Compression
{
"urls": ["/Users/username/Desktop/photo.jpg"],
"level": 2,
"format": "webp",
"width": 1200,
"height": 0
}
Use Cases
- Website Optimization: Reduce image sizes for faster web performance
- Storage Management: Compress large photo libraries to save disk space
- Format Conversion: Convert between image formats for compatibility
- Batch Processing: Process multiple images with consistent settings
- Social Media Preparation: Optimize images for specific platforms
Version History
See GitHub Releases for version history and changelog.
☕️ Support the Project
If you find Zipic MCP Server helpful, please consider supporting its development:
- ⭐️ Star the project on GitHub
- 🐛 Report bugs or suggest features
- 💝 Support via:
License
zipic-mcp-server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License.
About
A Swift implementation of an image compression server for Model Context Protocol (MCP), enabling AI assistants to compress and optimize images directly. This project is built using the MCP Swift SDK.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.