# mcp-civitai

> mcp-civitai — pipeworx-io-mcp-civitai. Use this tool when you need to manage and interact with Civitai models using git version control, solving problems related to model tracking and collaboration. It provides an interface for inputs such as model updates and outputs like version history and change tracking. Use it in contexts where model management and collaboration are crucial, such as AI model development and deployment.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-civitai  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-civitai

## Description

Civitai MCP.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-civitai)

## 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": "pipeworx-io-mcp-civitai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-civitai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-civitai/pull`

---
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