StyTrix MCP Server

Connect AI agents to StyTrix — an AI fashion design platform — via the Model Context Protocol (MCP). Ask your assistant to generate fashion concepts, models, fabrics, and full mix-and-match looks, and the results appear live on your StyTrix canvas.

Endpoint: https://www.stytrix.com/api/mcp
Transport: Streamable HTTP
Auth: OAuth 2.1 (sign in with your StyTrix account — no API key)
Docs: https://www.stytrix.com/mcp

This is a hosted remote MCP server — there's nothing to install or run locally. Add the URL to any MCP-capable client and sign in.

Add to your client

Claude.ai

Settings → Connectors → Add custom connector → paste https://www.stytrix.com/api/mcp → Connect and sign in.

Claude Code

Terminal

claude mcp add --transport http stytrix https://www.stytrix.com/api/mcp

Cursor

Add to .cursor/mcp.json:

config.json

{
  "mcpServers": {
    "stytrix": { "url": "https://www.stytrix.com/api/mcp" }
  }
}

OpenAI Codex

Add to your Codex MCP config:

toml

[mcp_servers.stytrix]
url = "https://www.stytrix.com/api/mcp"

Gemini CLI

Add to settings.json under mcpServers:

config.json

{
  "mcpServers": {
    "stytrix": { "httpUrl": "https://www.stytrix.com/api/mcp" }
  }
}

Tools

Read-only (free): whoami, list_projects, get_credits, check_video, check_style_training

Write (deduct credits): create_project, add_image_to_canvas, generate_concept, mix_match, generate_style, generate_model, generate_fabric, upscale_image, remove_background, image_to_sketch, multi_angle, split_layer, start_video, start_style_training

Generation tools deduct StyTrix credits only after a successful result. You keep full ownership of everything you create.

Example prompts

"List my StyTrix projects and tell me my credit balance."
"Create a project, then generate a photorealistic concept of an oversized beige wool coat and place it on the canvas."
"Generate a seamless herringbone wool fabric swatch and add it to my canvas."
"Take this garment photo and create front, back, and side views."

Stytrix MCP README