Smasher Studio

v1.0.0Data Science & MLstable

AI fashion design — product photos, videos, tech packs, colorways & fabric sims.

io-github-atenkai-smasher-studiomcpai-integration
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What is Smasher Studio?

Smasher Studio is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ai fashion design — product photos, videos, tech packs, colorways & fabric sims.

AI fashion design — product photos, videos, tech packs, colorways & fabric sims.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • AI fashion design — product photos, videos, tech packs, colo

Use Cases

Design product photos and videos with AI.
Generate tech packs, colorways, and fabric simulations.
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedMar 9, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx io-github-atenkai-smasher-studio

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Smasher Studio

What is Smasher Studio?

Smasher Studio is a Model Context Protocol (MCP) server that ai fashion design — product photos, videos, tech packs, colorways & fabric sims. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Smasher Studio?

Follow the installation instructions on the Smasher Studio GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Smasher Studio?

Smasher Studio works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Smasher Studio free to use?

Yes, Smasher Studio is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "io-github-atenkai-smasher-studio": { "command": "npx", "args": ["-y", "io-github-atenkai-smasher-studio"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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