# Photoshop MCP Windows-First

> Use this tool when you need to automate and control Adobe Photoshop from AI assistants, enabling streamlined image editing workflows and efficient task execution. It solves problems related to manual image editing, batch processing, and integration with AI systems, accepting inputs such as editing commands and image files, and producing outputs like edited images and workflow states. Ideal for use cases requiring automated image editing, batch processing, and AI-driven creative workflows.

Canonical page: https://skillsregistry.net/skills/rookietopred02-gif-photoshop-mcp-windows-first  
JSON: https://api.skillsregistry.net/v1/skills/rookietopred02-gif-photoshop-mcp-windows-first

## Description

An MCP server for controlling Adobe Photoshop from AI assistants, with Windows-first workflow, structured state, smoke-tested action playback, and a bundled Codex skill for image editing.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yy6x7wswgs)
- **Repository:** <https://github.com/Vaxaxas/photoshop-mcp-windows-first>

## 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": "rookietopred02-gif-photoshop-mcp-windows-first"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rookietopred02-gif-photoshop-mcp-windows-first` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rookietopred02-gif-photoshop-mcp-windows-first/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