# Photoshop MCP Server

> Use this tool when you need to automate graphic design tasks in Adobe Photoshop, such as creating documents, manipulating layers, and managing image adjustments, through a programmable interface. It solves problems of manual graphic design workflows by enabling AI assistants to control Photoshop programmatically. The tool takes in Model Context Protocol inputs and outputs automated graphic design workflows through the Photoshop Python API.

Canonical page: https://skillsregistry.net/skills/loonghao-photoshop-python-api-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/loonghao-photoshop-python-api-mcp-server

## Description

Enables AI assistants to programmatically control Adobe Photoshop on Windows to create documents, manipulate layers, and manage image adjustments. It provides a bridge between the Model Context Protocol and the Photoshop Python API for automated graphic design workflows.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bi4x39a9b7)
- **Repository:** <https://github.com/loonghao/photoshop-python-api-mcp-server>

## 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": "loonghao-photoshop-python-api-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/loonghao-photoshop-python-api-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/loonghao-photoshop-python-api-mcp-server/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
