How to integrate Dynamic Mockups MCP with OpenAI Agents SDK

This guide walks you through connecting Dynamic Mockups to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Dynamic Mockups agent that can browse mockup catalogs, search products, render product mockups, create motion mockups, and check status through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Dynamic Mockups account through Composio's Dynamic Mockups MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Dynamic Mockups logoDynamic Mockups
Api Key

Dynamic Mockups is an API platform for generating product mockups, rendering templates, and managing visual asset catalogs. Use it to automate high-quality product visuals, AI images, and motion assets at scale.

10 Tools

Introduction

This guide walks you through connecting Dynamic Mockups to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Dynamic Mockups agent that can browse mockup catalogs, search products, render product mockups, create motion mockups, and check status through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Dynamic Mockups account through Composio's Dynamic Mockups MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Dynamic Mockups
  • Configure an AI agent that can use Dynamic Mockups as a tool
  • Run a live chat session where you can ask the agent to perform Dynamic Mockups operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Dynamic Mockups MCP server, and what's possible with it?

The Dynamic Mockups MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dynamic Mockups account. It provides structured and secure access to your mockup templates, catalogs, product options, image generation, and motion assets, so your agent can find templates, create product mockups, render artwork, generate videos, and track generation progress on your behalf.

  • Template discovery and rendering: Have your agent find suitable mockup templates and render selected designs using public artwork, colors, text, and shared export settings.
  • AI product mockup creation: Let the agent create a product mockup from a written prompt or public image, then check its progress when needed.
  • Catalog and collection browsing: Direct your agent to list your catalogs and collections so it can find the right mockups for creation or bulk workflows.
  • Product option research: Instruct your agent to search supported products and review available sizes, colors, decoration locations, styles, and aspect ratios before generating an asset.
  • Motion mockup generation: Have your agent submit an image for video generation, compare available models and durations, and track the job until the finished video is ready.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Dynamic Mockups project
  • Some knowledge of Python or Typescript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Dynamic Mockups.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Dynamic Mockups
const session = await composio.create(userId as string, {
  toolkits: ['dynamic_mockups'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only dynamic_mockups.
  • The router checks the user's Dynamic Mockups connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Dynamic Mockups.
  • This approach keeps things lightweight and lets the agent request Dynamic Mockups tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Dynamic Mockups. Help users perform Dynamic Mockups operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Dynamic Mockups and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Dynamic Mockups operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Dynamic Mockups.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Dynamic Mockups and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['dynamic_mockups'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Dynamic Mockups. Help users perform Dynamic Mockups operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});

Conclusion

This was a starter code for integrating Dynamic Mockups MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Dynamic Mockups.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

Every Dynamic Mockups action and event your agent gets out of the box.

Create MockAnything Mockup

Create and optionally wait for a MockAnything mockup from exactly one prompt, public image URL, or uploaded image.

Get Generation Options

Return current MockAnything styles and aspect-ratio support plus MotionMockups models, durations, aspect ratios, estimated times, and live credit prices.

Get MockAnything Product

Get one POD product's supported sizes, colors, and decoration locations before using its UUID in MockAnything generation.

Get MockAnything Status

Check one MockAnything task once, typically after Create MockAnything Mockup stops waiting.

Get Motion Mockup Status

Check a submitted MotionMockups video job once and return its queue state or completed MP4 metadata.

List Catalogs and Collections

Return the connected account's catalogs and collections, including the UUIDs used to filter mockups and target creation or bulk workflows.

List Mockups

Find renderable mockup templates and return their mockup, smart-object, text-layer, and print-area-preset UUIDs.

Render Mockups

Render one or more explicitly selected mockup templates from public artwork URLs, colors, Beta text layers, and shared export settings.

Search MockAnything Products

Fuzzy-search POD products that can ground MockAnything generation.

Submit Motion Mockup

WARNING: Submit image-to-video generation and return a request ID for later status checks.

FAQ

Frequently asked questions

With a standalone Dynamic Mockups MCP server, the agents and LLMs can only access a fixed set of Dynamic Mockups tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Dynamic Mockups and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Dynamic Mockups tools.

Yes, absolutely. You can configure which Dynamic Mockups scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Dynamic Mockups data and credentials are handled as safely as possible.

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