# photoshop-mcp-pro

> Use this tool when you need to automate and streamline graphic design tasks in Adobe Photoshop. It solves problems such as manual document creation, layer management, and design optimization by allowing AI assistants to directly control Photoshop's features, including filters, adjustments, and design intelligence. With inputs like design specifications and outputs like professionally designed documents, this tool is ideal for tasks that require precision and efficiency in graphic design.

Canonical page: https://skillsregistry.net/skills/ayushnagvanshi101098-ship-it-photoshop-mcp-pro  
JSON: https://api.skillsregistry.net/v1/skills/ayushnagvanshi101098-ship-it-photoshop-mcp-pro

## Description

A professional MCP server that lets AI assistants directly control Adobe Photoshop for document creation, layer management, filters, adjustments, shapes, text, and design intelligence like palette generation and font pairing.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wgas1vzt1u)
- **Repository:** <https://github.com/ayushnagvanshi101098-ship-it/photoshop-mcp-pro>

## 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": "ayushnagvanshi101098-ship-it-photoshop-mcp-pro"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ayushnagvanshi101098-ship-it-photoshop-mcp-pro` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ayushnagvanshi101098-ship-it-photoshop-mcp-pro/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