# NovelAI

> Use this tool when you need to generate high-quality anime-style artwork through natural language requests, and require comprehensive control over image generation parameters. It solves problems related to custom image creation, such as multi-character prompts and advanced sampling methods, by providing a direct integration with NovelAI's image generation API. It accepts natural language inputs and outputs generated images, making it ideal for use cases like artwork creation and image manipulation.

Canonical page: https://skillsregistry.net/skills/sgsxingchen-novelai  
JSON: https://api.skillsregistry.net/v1/skills/sgsxingchen-novelai

## Description

A TypeScript-based MCP server that provides direct integration with NovelAI's image generation API, specifically supporting the NAI Diffusion V4.5 Full model. The implementation offers comprehensive control over image generation parameters including advanced features like multi-character prompts with coordinate positioning, various sampling methods, noise schedules, and specialized modes for img2img and inpainting operations. Built with full TypeScript type safety and supporting both stdio and HTTP server modes, it enables generating high-quality anime-style artwork through natural language requests while handling complex parameter configurations like CFG rescaling, dynamic thresholding, and VibeTransfer reference images.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sgsxingchen-novelai)
- **Repository:** <https://github.com/sgsxingchen/novelai_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": "sgsxingchen-novelai"
    }
  }
}
```

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