dcc-mcp-photoshop

★ 14

mcp-js

★ 62

dcc-mcp-photoshop vs mcp-js

Q: Which is better, dcc-mcp-photoshop or mcp-js?

By GitHub stars, mcp-js has more community adoption, but the best choice depends on your specific use case.

dcc-mcp-photoshop: This project integrates Adobe Photoshop with AI agents through the Model Context Protocol (MCP), enabling automation of image editing workflows. It provides a Python SDK to control Photoshop via a high-performance Rust broker and UXP bridge, allowing agents to use typed tools for tasks like layer management, selections, filters, and exports.; mcp-js: mcp-v8 provides a secure and efficient JavaScript/TypeScript runtime for AI agents, allowing them to execute code within a sandboxed V8 isolate. It simplifies agent development by offering a single, powerful `run_js` tool instead of multiple narrow utilities, supporting durable state and policy-gated capabilities.

TL;DR

dcc-mcp-photoshopWorkflow Automation · ★ 14

Automating repetitive Photoshop tasks like image resizing, format conversion, and layer manipulation.

Read dcc-mcp-photoshop full review →

mcp-jsWorkflow Automation · ★ 62

Enabling AI agents to execute complex, procedural logic (loops, branches, data transformations)

Read mcp-js full review →

Side-by-Side Comparison

Field

dcc-mcp-photoshop

mcp-js

Features

dcc-mcp-photoshop

01Over 40 typed Photoshop tools across 8 bundled skill packages.

02High-performance communication via adobepy Rust broker and UXP bridge.

03Sidecar isolation for the Python MCP server, running outside Photoshop's UI thread.

04Gateway compatibility for multi-DCC deployments and one-click setup skill.

mcp-js

01JavaScript & TypeScript execution in a sandboxed V8 isolate

02Durable state with content-addressed V8 heap snapshots

03Secure by default with configurable policy-gated capabilities

04Simplifies AI agent development with a single `run_js` tool for complex logic

05Production-ready with authentication, clustering, and multiple transport options

Use Cases

dcc-mcp-photoshop

↳Automating repetitive Photoshop tasks like image resizing, format conversion, and layer manipulation.

↳AI agents inspecting document metadata and layer structures in Photoshop.

↳Programmatically creating, updating, and applying text, filters, or smart objects to images.

↳Integrating Photoshop into larger multi-DCC (e.g., Maya, Houdini, Blender) AI agent workflows.

mcp-js

↳Enabling AI agents to execute complex, procedural logic (loops, branches, data transformations)

↳Developing stateful AI agents that persist context and variables across interactions

↳Securely orchestrating external tools and APIs for agents with fine-grained access policies

↳Building extensible AI agent tools by composing other Model Context Protocol (MCP) servers

FAQ

What is the difference between dcc-mcp-photoshop and mcp-js?

Both dcc-mcp-photoshop and mcp-js are in the Workflow Automation category. dcc-mcp-photoshop has 14 stars, while mcp-js has 62 stars.

Which is better, dcc-mcp-photoshop or mcp-js?

The best choice depends on your use case. Choose dcc-mcp-photoshop if Automating repetitive Photoshop tasks like image resizing, format conversion, and layer manipulation., and mcp-js if Enabling AI agents to execute complex, procedural logic (loops, branches, data transformations).

Is dcc-mcp-photoshop free or open source?

Yes, dcc-mcp-photoshop is open source on GitHub.

Is mcp-js free or open source?

Yes, mcp-js is open source on GitHub (AGPL-3.0).

Cloud Infrastructure

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit

→

Alternatives to dcc-mcp-photoshop →Alternatives to mcp-js →dcc-mcp-photoshop details →mcp-js details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

Deploy on DigitalOcean

Related