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Nero AI Image Processing MCP Server

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by nero-com

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, 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.


Related MCP server: MCP DeepInfra AI Tools Server

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.


Setup

API key

Get a Nero AI API key: https://ai.nero.com/ai-api?utm_source=npm_mcp.

NPX

{
  "mcpServers": {
    "nero-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@nero-ai/nero-ai-mcp-server"
      ],
      "env": {
        "NERO_AI_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Available Tools

1 tool
background_removerD

Background removal

ParametersJSON Schema
NameRequiredDescriptionDefault
imageNoImage URL (required if local_file_path is not provided)
actionYesAction type, fixed as "auto"
presigned_urlNoPresigned URL
local_file_pathNoLocal file path (required if image is not provided)

TDQS

D1.9/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided and description fails to disclose any behavioral traits (e.g., image format support, quality, side effects).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise but under-specified; lacks structure and important details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema and description provides insufficient context for a tool with 4 parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so description adds no additional meaning. Baseline score of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description 'Background removal' is a near-tautology of the tool name. It provides no additional specificity about the tool's scope or functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives, no exclusions or prerequisites mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

TDQS

C2.2/5.0
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
ResponsivenessSyncing

Resources

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