photoshop-mcp — security grade SAFE, quality 73/100

Security audit verdict: SAFE · quality 73/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by alisaitteke · MCP Server · ★ 551

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is photoshop-mcp safe to install? View the security audit →

About photoshop-mcp

Photoshop MCP Server v1.1+ — recipe workflows, fewer round-trips, snappier sessions. Note: This is an unofficial, community-maintained project and is not affiliated with or endorsed by Adobe Inc. []() A Model Context Protocol (MCP) server that enables AI assistants like Claude and Cursor to control Adobe Photoshop programmatically. This allows you to create designs, manipulate images, and automate Photoshop workflows through natural language commands while working in your IDE — or through the bundled standalone web UI, which supports both API keys and CLI subscription accounts (Claude Code / Gemini CLI). 🖥️ Standalone UI (no IDE required) Don't want to wire this into Claude Desktop or Cursor? The same package ships a fully local web UI that lets you chat with an AI model and drive Photoshop through this MCP server underneath. Connect with a provider API key or, for Anthropic and Google, reuse the OAuth session from Claude Code or Gemini CLI — no separate API key required. ![Standalone UI Screenshot](./images/frame

adobeaiai-assistantclaudecreative-automationcursorextendscriptfireflygenerative-aigraphic-design

Quick Facts

Stars551
Forks65
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score72.5890878907669/100
Open Issues4
Last Updated2026-10-02
Created2026-01-26
Platformsclaude-code, mcp, node
Est. Tokens~19k

Compatible Skills

These tools work well together with photoshop-mcp for enhanced workflows:

  • ai-agent-automation — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • obsidian-gemini-helper — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • typeui.sh — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

photoshop-mcp alternative? Top 6 similar tools

Looking for a photoshop-mcp alternative? If you're comparing photoshop-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • atlassian-mcp-server by atlassian · ⭐ 1.1k

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  • mcp-client-for-ollama by jonigl · ⭐ 827

    Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools,

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Frequently Asked Questions

What is photoshop-mcp?

photoshop-mcp is MCP for Adobe Photoshop. 118 tools. Control from Cursor, Claude or custom LLMs.. It is categorized as a MCP Server with 551 GitHub stars.

What programming language is photoshop-mcp written in?

photoshop-mcp is primarily written in TypeScript. It covers topics such as adobe, ai, ai-assistant.

How do I install or use photoshop-mcp?

You can find installation instructions and usage details in the photoshop-mcp GitHub repository at github.com/alisaitteke/photoshop-mcp. The project has 551 stars and 65 forks, indicating an active community.

What license does photoshop-mcp use?

photoshop-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to photoshop-mcp?

The top alternatives to photoshop-mcp on Agent Skills Hub include toolhive-studio, premiere-pro-mcp, gemini-mcp-tool. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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