Nero AI Image Processing MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| image_upscaler | Image upscaling processing |
| scratch_fix | Image scratch repair |
| colorize_photo | Colorize black and white photos |
| face_restoration | Face restoration |
| background_removerD | Background removal |
| background_changer | Background replacement |
| image_denoiser | Image denoising |
| image_compressor | Image compression |
| get_api_key_info | Get API key information |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion between tools. The tool's purpose is clearly distinct.
Single tool name 'background_remover' follows a descriptive pattern, and with only one tool, inconsistency is not applicable.
A single tool for an 'Image Processing' server is extremely thin. Image processing typically requires multiple operations like resizing, filtering, format conversion, etc.
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.