# Photoshop Full MCP

> Photoshop Full MCP — muhwagwa0112-photoshop-full-mcp. Use this tool when you need to automate and control Adobe Photoshop 2026 using natural language, enabling efficient document editing and command execution with built-in safety features. It solves problems related to repetitive tasks, workflow automation, and secure editing, providing a local server and UXP bridge interface for seamless interaction. Ideal for use cases requiring streamlined editing, automation, and validation, with inputs including natural-language commands and outputs including edited documents and execution results.

Canonical page: https://skillsregistry.net/skills/muhwagwa0112-photoshop-full-mcp  
JSON: https://api.skillsregistry.net/v1/skills/muhwagwa0112-photoshop-full-mcp

## Description

Enables natural-language control of Adobe Photoshop 2026 through a local, capability-gated MCP server and UXP bridge, supporting document editing, command execution, and safe automation with automatic approvals and validation.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r97v4ra7hm)
- **Repository:** <https://github.com/muhwagwa0112/photoshop-full-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": "muhwagwa0112-photoshop-full-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/muhwagwa0112-photoshop-full-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/muhwagwa0112-photoshop-full-mcp/pull`

---
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