mcp-image-compression
by InhiblabCore
mcp-image-compression is a high-performance image compression microservice based on MCP architecture. It provides fast and high-quality image compression capabilities to optimize image resources for websites and applications.
Last updated: N/A
What is mcp-image-compression?
mcp-image-compression is a microservice designed for compressing images. It utilizes the Modal Context Protocol (MCP) architecture to provide efficient and high-quality image compression for various applications.
How to use mcp-image-compression?
The service can be used via NPX or Docker. For NPX, configure the mcpServers JSON with the command and arguments provided in the README, ensuring to set the IMAGE_COMPRESSION_DOWNLOAD_DIR. Alternatively, build a Docker image using docker build -t mcp-image-compression . and run it. The service accepts image URLs, quality (0-100), and desired format as inputs and returns compressed image URLs.
Key features of mcp-image-compression
Multi-format support (JPEG, PNG, WebP, AVIF)
Offline Usage
Smart compression
Batch processing
Quality control
Use cases of mcp-image-compression
Website image optimization
Mobile application image compression
Reducing image storage costs
Improving website loading speed
Optimizing images for social media
FAQ from mcp-image-compression
What image formats are supported?
What image formats are supported?
The service supports JPEG, PNG, WebP, and AVIF formats.
Does the service require an internet connection?
Does the service require an internet connection?
No, the service can be used offline.
How does smart compression work?
How does smart compression work?
The service automatically selects optimal compression parameters based on the image content.
Can I control the compression quality?
Can I control the compression quality?
Yes, you can customize the compression quality to balance file size and visual quality using the quality parameter (0-100).
How can I use this server?
How can I use this server?
You can use this server by setting up using NPX or Docker, as described in the setup section.