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Nero AI Image Processing

Created By
modelcontextprotocol5 months ago
A Model Context Protocol (MCP) server built for Nero AI, offering seamless access to a full suite of AI-powered image processing tools — including high-fidelity upscaling, photo restoration, noise reduction, background removal, colorization, and intelligent compression. Ideal for enhancing old or low-resolution images, streamlining creative workflows, and powering modern image editing pipelines with fast, reliable, and high-quality results.
Content

AI Image Processing API – Feature Overview

image_upscaler – Automatically enhance image resolution using AI super-resolution technology. Ideal for enlarging low-quality or small-sized images while preserving details and clarity.

scratch_fix– Detect and repair scratches, stains, and surface defects in scanned or old photos. Great for photo restoration and archival projects.

colorize_photo – Convert black-and-white photos into natural-looking color images. Useful for restoring historical photos, family portraits, or monochrome artwork.

face_restoration – Restore blurry or damaged facial details using deep-learning-based face enhancement. Improves visibility of facial features in low-quality images.

background_remover – Accurately remove image backgrounds while preserving foreground objects. Suitable for profile pictures, product listings, and graphic design.

background_changer – Replace the removed background with a custom image or solid color. Enables quick background editing for social media, e-commerce, and branding.

image_denoiser– Reduce noise and graininess in images caused by low light or compression. Enhances image clarity while retaining important details.

image_compressor – Compress image file size with minimal loss of quality. Helps optimize images for web, mobile, or storage without sacrificing appearance.

get_api_key_info – Retrieve API key metadata, usage limits, and plan details for authentication and integration management.
Click https://ai.nero.com/ai-api

Server Config

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