# NovelAI Image MCP

> NovelAI Image MCP — xinvxueyuan-novelai-image-mcp. Use this tool when you need to generate or manipulate images using AI, such as creating images from text, editing existing images, or upscaling low-resolution images. The NovelAI Image MCP server provides a range of image generation and editing tools, including txt2img, img2img, and inpaint, with inputs via stdio or streamable-http transports and outputs in various image formats. It solves problems in image creation, editing, and enhancement, and is ideal for use cases where automated image generation or manipulation is required.

Canonical page: https://skillsregistry.net/skills/xinvxueyuan-novelai-image-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xinvxueyuan-novelai-image-mcp

## Description

An MCP server that exposes NovelAI image generation as tools for AI agents, supporting txt2img, img2img, inpaint, upscaling, Director tools, ControlNet annotation, tag suggestions, vibe encoding, and subscription queries via stdio or streamable-http transports.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rhw3l6judc)
- **Repository:** <https://github.com/xinvxueyuan/NovelAI-Image-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "xinvxueyuan-novelai-image-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xinvxueyuan-novelai-image-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xinvxueyuan-novelai-image-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt