# peelaway-mcp

> peelaway-mcp — jakeloo-peelaway-mcp. Use this tool when you need to edit images by removing objects or backgrounds, or make targeted generative edits, and integrate the results into your workflow via git. It provides a hosted environment for AI agents to perform MCP image editing tasks, allowing for precise control over image modifications. Ideal for use cases requiring automated image refinement, object removal, or guided generative editing with seamless version control.

Canonical page: https://skillsregistry.net/skills/jakeloo-peelaway-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jakeloo-peelaway-mcp

## Description

Hosted MCP image editing for AI agents: remove objects or backgrounds and make guided generative edits.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

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

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