# pixtorium-mcp

> pixtorium-mcp — yovico-ai-pixtorium-mcp. Use this tool when you need to edit photos in Pixtorium using a comprehensive set of 22 tools and 134 operations, allowing AI agents to manipulate images with precision. It solves problems related to image editing, enhancement, and manipulation, providing a wide range of operations to achieve desired outcomes. With git capabilities, it integrates seamlessly into development workflows, accepting image inputs and producing edited outputs.

Canonical page: https://skillsregistry.net/skills/yovico-ai-pixtorium-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yovico-ai-pixtorium-mcp

## Description

Let AI agents edit photos in Pixtorium over MCP: connect guide, 22 tools, 134 operations

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-28

## Source

- **Source listing:** [GitHub](https://github.com/yovico-ai/pixtorium-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": "yovico-ai-pixtorium-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yovico-ai-pixtorium-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yovico-ai-pixtorium-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