# neo-mcp

> neo-mcp — wishmatic-neo-mcp. Use this tool when you need to interact with a local Stable Diffusion WebUI instance, such as generating images or text-to-image models, and require a thin MCP wrapper for streamlined functionality. It solves problems related to accessing and controlling local AI models, providing a simple interface for inputs like text prompts and outputs like generated images. Ideal for use cases where a lightweight, git-capable wrapper is necessary for managing local Stable Diffusion instances.

Canonical page: https://skillsregistry.net/skills/wishmatic-neo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wishmatic-neo-mcp

## Description

A thin MCP wrapper around a local Stable Diffusion WebUI (Forge Neo) instance

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/wishmatic/neo-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": "wishmatic-neo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wishmatic-neo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wishmatic-neo-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