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Compresses images using various formats and quality settings, optimizing them for web use; operates offline and supports batch processing.
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Compresses images using various formats and quality settings, optimizing them for web use; operates offline and supports batch processing.
The image compression service is relatively safe for general use, but it's important to monitor resource consumption and validate input image data to prevent potential exploits. Running it within a container with resource limits is recommended. Avoid using it to process untrusted images.
Performance depends on image size, compression quality, and hardware resources. Batch processing can improve throughput, but may increase resource consumption.
Cost considerations include compute resources for compression and storage costs for compressed images. Using efficient compression formats can reduce storage costs.
{
"mcpServers": {
"Image compression": {
"command": "npx",
"args": [
"-y",
"@inhiblab-core/mcp-image-compression"
],
"env": {
"IMAGE_COMPRESSION_DOWNLOAD_DIR": "<YOUR_DIR>"
},
"disabled": false,
"autoApprove": []
}
}
}image_compressionCompresses images from URLs, adjusting quality and format.
Writes compressed images to a specified location, potentially overwriting existing files.
None
cloud
The image compression service is relatively safe for general use, but it's important to monitor resource consumption and validate input image data to prevent potential exploits. Running it within a container with resource limits is recommended. Avoid using it to process untrusted images.
The service operates with read and write permissions within its execution environment. Autonomy should be carefully managed to prevent unintended disk space usage or processing of malicious images.
Production Tip
Implement resource limits and monitoring to prevent denial-of-service attacks and ensure stable performance in production.
The service supports JPEG, PNG, WebP, and AVIF formats.
The smart compression feature automatically selects optimal compression parameters based on the image content to balance file size and visual quality.
Yes, you can customize the compression quality using a quality parameter (0-100).
No, the service can be used offline.
The service supports batch processing, allowing you to compress multiple images in parallel for improved efficiency.
The MCP server is licensed under the MIT License.
You can set the `IMAGE_COMPRESSION_DOWNLOAD_DIR` environment variable in the `mcpServers` configuration.