
Nero AI Image ProcessingVerifiedFeatured
@nero-com
About Nero AI Image Processing
We provide AI-powered tools for image enhancement, upscaling, background removal, photo restoration, colorization, denoising, and compression. All features are available through our API documentation.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"nero-ai": {
"command": "npx",
"args": [
"-y",
"@nero-ai/nero-ai-mcp-server"
],
"env": {
"NERO_AI_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Tools
9Image upscaling processing
Image scratch repair
Colorize black and white photos
Face restoration
Background removal
Background replacement
Image denoising
Image compression
Get API key information
Overview
What is Server?
Nero AI Image Processing MCP Server brings Nero AI’s image and video processing capabilities to MCP-compatible clients. It allows users to enhance, restore, edit, and generate visual content through natural-language requests or structured MCP tool calls.
The server is designed for creators, developers, businesses, and AI agents that need reliable visual-processing workflows without switching between multiple tools. From improving image quality and removing backgrounds to generating image variations and short videos, Nero AI provides a unified set of AI-powered capabilities.
How to use Server?
Follow the setup instructions in the README and add the provided MCP configuration to your MCP-compatible client. A typical configuration includes:
{
"command": "npx",
"args": ["-y", "<package-name>"]
}
Our features
Our documentation
These tools are available via our comprehensive API documentation, enabling easy integration into your own applications.
Below is a description of each tool available in our API, highlighting its core functionality and ideal use cases.
image_upscaler – Image Enhancing & Upscaling Processing
Enhances image resolution using AI-powered super-resolution models. Maintains edge sharpness and fine details, making it ideal for enlarging blurry or low-quality images without losing clarity.
scratch_fix – Image Scratch Repair
Automatically detects and restores scratches, dots, stains, and other damage in old or scanned photographs. Perfect for digitally restoring vintage or damaged photos.
colorize_photo – Colorize Black and White Photos
Applies AI-based colorization to grayscale images. Restores natural tones such as skin color and background elements, giving new life to historical or monochrome photos.
face_restoration – Face Restoration
Specializes in enhancing and restoring facial details in low-quality or damaged images. Ideal for old portraits, blurry faces, or photo enhancement in general.
background_remover – Background Removal
Automatically removes image backgrounds with high accuracy, isolating the main subject. Useful for e-commerce, design, or portrait editing.
background_changer – Background Replacement
Replaces the original image background with a new one. Supports both solid color and custom image backgrounds to fit different creative or branding needs.
image_denoiser – Image Denoising
Removes visual noise from images while preserving essential details and textures. Effective for enhancing photos taken in low-light or noisy environments. It is a great choice for restoring astrophotography and photos taken in low-light environments.
image_compressor – Image Compression
Optimized for SEO and page speed — compressing images reduces file size while maintaining quality, resulting in faster load times and better search engine rankings.
get_api_key_info – Get API Key Information
Get your API key from the specified page to start using the API.
Use cases of Server
- Connect an MCP-compatible client to this repository's service.
- Review the README-backed setup before enabling it in production.
FAQ from Server
Where is the source code for Server?
The source code is linked from the repository URL on this page.
Does Server include a standard MCP config?
If the README contains a parseable MCP configuration block, it is shown in the Config tab.
Frequently asked questions
Where is the source code for Server?
The source code is linked from the repository URL on this page.
Does Server include a standard MCP config?
If the README contains a parseable MCP configuration block, it is shown in the Config tab.
Basic information
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