# PsMCP - MCP Server for Photoshop

> Use this tool when you need to automate Photoshop tasks or integrate AI-driven design workflows, as it enables natural language control over Photoshop functions, such as editing PSDs and generating marketing creatives, through a server-based interface that accepts text commands and outputs modified design files. It solves problems like repetitive design tasks and limited automation capabilities in Photoshop. Ideal for use cases where AI tools need to interact with Photoshop, such as automated design generation and editing.

Canonical page: https://skillsregistry.net/skills/chandrahas455-psmcp-mcp-server-for-photoshop  
JSON: https://api.skillsregistry.net/v1/skills/chandrahas455-psmcp-mcp-server-for-photoshop

## Description

A server that allows AI tools like Claude and Cursor to automate and control Photoshop through natural language commands, enabling tasks like editing PSDs, toggling layers, and generating marketing creatives.

## Trust

- **Trust score (0–1):** 0.97
- **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/lyx1o1urrl)
- **Repository:** <https://github.com/Chandrahas455/PsMCP-MCP-Server-for-Photoshop>

## 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": "chandrahas455-psmcp-mcp-server-for-photoshop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chandrahas455-psmcp-mcp-server-for-photoshop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chandrahas455-psmcp-mcp-server-for-photoshop/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