Nero AI Image Processing MCP Server
Officialby nero-com
README.md
# Nero AI Image Processing MCP Server
We offer a variety of AI-powered image editing tools designed to enhance and streamline your image processing needs. Our core features include:
- Enhancing image resolution with advanced upscaling technology
- Removing and replacing image backgrounds automatically
- Restoring old and damaged photographs
- Additional image enhancement functions such as scratch repair, colorization, denoising, and compression
---
**Our documentation**
These tools are available via our comprehensive [API documentation](https://ai.nero.com/ai-api/docs/), enabling easy integration into your own applications.
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Below is a description of each tool available in our API, highlighting its core functionality and ideal use cases.
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## `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.
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## `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.
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## `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.
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## `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.
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## `background_remover` – Background Removal
Automatically removes image backgrounds with high accuracy, isolating the main subject. Useful for e-commerce, design, or portrait editing.
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## `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.
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## `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.
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## `get_api_key_info` – Get API Key Information
Get your API key from the [specified page](https://ai.nero.com/ai-api?utm_source=npm_mcp) to start using the API.
---
## Setup
### API key
Get a Nero AI API key: https://ai.nero.com/ai-api?utm_source=npm_mcp.
### NPX
```json
{
"mcpServers": {
"nero-ai": {
"command": "npx",
"args": [
"-y",
"@nero-ai/nero-ai-mcp-server"
],
"env": {
"NERO_AI_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
```TDQS
C2.2/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of confusion between tools. The tool's purpose is clearly distinct.
Naming Consistency5/5
Single tool name 'background_remover' follows a descriptive pattern, and with only one tool, inconsistency is not applicable.
Tool Count1/5
A single tool for an 'Image Processing' server is extremely thin. Image processing typically requires multiple operations like resizing, filtering, format conversion, etc.
Completeness1/5
The server's stated domain is image processing, yet it only provides background removal. This is a severe gap; essential image processing operations are missing.
Maintenance
ActivityInactive
ResponsivenessNo issues