Nero AI Image Processing MCP Server

Boost your workflow with our powerful AI Image processing MCP server

🔧 Nero AI Image Processing MCP Server

What is MCP server?

Model Context Protocol (MCP) is a standardized, lightweight protocol for communicating with AI model servers. It simplifies integration by using a consistent request/response structure, making it easy to call different AI models through a single unified interface.

With MCP, developers can plug advanced AI capabilities into any app or system — no model training, no infrastructure, no guesswork. For example, you can connect to Claude through an MCP-compatible server to leverage its natural language understanding and reasoning capabilities without needing to manage the model directly. Simply configure the MCP client with Claude’s API endpoint and credentials, and you can send requests and receive responses in a unified, predictable way.

Nero AI’s Hosted MCP Server

Nero AI offers a fully managed MCP Server focused on high-performance image processing. All models are accessible via a single API endpoint and conform to the MCP standard, enabling fast and flexible integration.

API Endpoint:

https://mcp.so/server/ai-image-processing/modelcontextprotocol Open

Authentication:

Include your API key in the request for authentication.

🧠 Supported Model Types

Model Type	Description
image_upscaler	Enhance image resolution significantly using advanced AI-powered super-resolution techniques, resulting in sharper, more detailed visuals even from low-quality sources.
scratch_fix	Remove scratches and restore old or damaged photos by intelligently filling in missing details, preserving original textures and tones to bring images back to life.
colorize_photo	Turn black & white images into realistic color photos with AI that understands context and lighting, adding vibrant and natural hues to historical or monochrome pictures.
face_restoration	Restore blurry or aged faces by enhancing facial details, smoothing skin, and correcting imperfections for more lifelike and rejuvenated portraits.
background_remover	Remove image backgrounds precisely using AI-driven object detection, enabling clean extraction of subjects for flexible reuse or compositing.
background_changer	Replace image backgrounds effortlessly with any custom backgrounds, allowing creative scene transformations or professional-looking composites.
image_denoiser	Reduce image noise and grain to produce cleaner, clearer visuals, improving quality in photos taken under low-light or high-ISO conditions.
image_compressor	Compress image file sizes efficiently without sacrificing visible quality, ideal for web usage or storage optimization.

⚡ Use Cases

E-commerce image optimization
Automated media enhancement pipelines
Digital archive restoration
Profile and portrait refinement
Social media or CMS image processing
Pre-deployment asset optimization

🚀 How to Get Started

Sign up at ai.nero.com/ai-api.
Get your API Key from the Nero AI API Dashboard.
Install Node.js from nodejs.org.
Open a text editor (such as Notepad or TextEdit) and paste the configuration below into it.
Replace <YOUR_API_KEY> with the Nero AI API Dashboard API key you obtained above.
Save the file as plain text with the following filename and location:
- macOS: ~/Library/Application Support/NeroAI/nero_ai_mcp_config.json
- Windows: %APPDATA%\NeroAI\nero_ai_mcp_config.json

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

Restart your client to load the new server.
Upload an image and type prompts such as “upscale the image with Nero AI” to try it out.

📘 Full MCP documentation

📘 Nero AI API image processing documentation

Start building with Nero AI →