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OpenAI Agents SDK
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How to Install MyDesigns MCP: Print on Demand & Digital Products for AI Age in OpenAI Agents SDK

Create print-on-demand and digital products, publish them to your stores, and track sales from any AI agent.

What MyDesigns MCP: Print on Demand & Digital Products for AI Age does

MyDesigns MCP is the official Model Context Protocol (MCP) server for MyDesigns (mydesigns.io), the print-on-demand and digital-products platform. It connects Claude, ChatGPT, Cursor, Gemini CLI, Grok, Perplexity and any other MCP client to your MyDesigns account, so you can run a POD and digital-download business from plain-language prompts. Print on demand: your AI makes designs with Dream AI and turns them into ready-to-sell products such as t-shirts, hoodies, mugs, tumblers, posters and totes, using your product profiles (blanks, colors, sizes, prices, mockups). It lists products directly to Shopify, WooCommerce, TikTok Shop, MyDesigns Stores and other supported platforms. For Etsy, it creates the products in MyDesigns, and you review them and publish to Etsy in one click. Amazon is coming soon. Digital products: your AI makes or uploads the artwork behind printables, wall art, planner stickers and SVG-style art into your MyDesigns folders. In MyDesigns you add listing data and bulk-publish the digital downloads. It also opens and brands MyDesigns Stores, researches what sells with Scout AI, and reports orders, revenue, profit, visits and top products. Remote Streamable HTTP server at https://mcp.mydesigns.io/mcp. Sign in with MyDesigns over OAuth (dynamic client registration). Free to connect on every plan; the agent asks before it spends AI credits.

print on demand
digital products
ecommerce
etsy
shopify

Installation steps

  1. 1Install: pip install openai-agents
  2. 2Copy the snippet below into your agent code
  3. 3Replace placeholder env values with your real keys
  4. 4Pass mcp_servers=[mcp_server] to your Agent()

Python snippet

Python snippetpython
from agents import Agent
from agents.mcp import MCPServerStreamableHttp

mcp_server = MCPServerStreamableHttp(params={"url": "https://mcp.mydesigns.io/mcp"})

agent = Agent(
    name="My Agent",
    model="gpt-4o",
    mcp_servers=[mcp_server],
)
Full server details GitHub Open Config Editor

Install in other clients

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