# How to integrate Goody MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Goody MCP with OpenAI Agents SDK",
  "toolkit": "Goody",
  "toolkit_slug": "goody",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/goody/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/goody/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:13:28.948Z"
}
```

## Introduction

This guide walks you through connecting Goody to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Goody agent that can list all available gift products for birthdays, estimate price for sending 50 gift cards, show your most recent goody orders through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Goody account through Composio's Goody MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Goody with

- [Claude Agent SDK](https://composio.dev/toolkits/goody/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/goody/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/goody/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/goody/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/goody/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/goody/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/goody/framework/cli)
- [Google ADK](https://composio.dev/toolkits/goody/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/goody/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/goody/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/goody/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/goody/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/goody/framework/crew-ai)

## 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 Goody
- Configure an AI agent that can use Goody as a tool
- Run a live chat session where you can ask the agent to perform Goody 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 Goody MCP server, and what's possible with it?

The Goody MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Goody account. It provides structured and secure access to your gifting and commerce operations, so your agent can perform actions like listing products, calculating order costs, retrieving order details, and managing payment methods on your behalf.
- Active product and card discovery: Instantly fetch all available physical products and digital greeting cards to streamline gift selection for any occasion.
- Order batch pricing and estimation: Let your agent calculate per-recipient and total costs for a batch order before placing it, making budgeting and planning a breeze.
- Order and batch management: Effortlessly retrieve lists of all your orders or order batches, helping you monitor, audit, or report on gifting activity.
- Payment methods and workspace management: Quickly access all payment methods and workspaces tied to your account, so your agent can select the right context or handle checkout securely.
- User and product detail retrieval: Pull up detailed information on any product or view your current user profile to personalize gifting experiences and account management.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GOODY_CALCULATE_PRICE_FOR_ORDER_BATCH` | Calculate Price for Order Batch | Calculate price estimate for an order batch before creation. Returns per-recipient cart pricing (product, shipping, processing, tax) and total batch cost. All prices are in USD cents (e.g., 100 = $1.00). Use this to preview costs before creating an order batch. |
| `GOODY_CREATE_WEBHOOK` | Create Webhook | Tool to create a webhook endpoint to receive notifications about order events. Use when you need to set up automated notifications for order lifecycle events like creation, shipment, or delivery. |
| `GOODY_DELETE_WEBHOOK` | Delete Webhook | Delete a webhook endpoint to stop receiving notifications from Goody API. Use this when you need to remove a webhook endpoint that is no longer needed or needs to be reconfigured. The operation returns a 204 status code on successful deletion. |
| `GOODY_LIST_ALL_ACTIVE_CARDS` | List All Active Cards | Tool to list all active digital greeting cards. Use when you need to fetch available card options before sending. |
| `GOODY_LIST_ALL_ACTIVE_PRODUCTS` | List All Active Products | Tool to list all active products. Use when you need to fetch available active products with pagination and filters. |
| `GOODY_LIST_ALL_ORDER_BATCHES` | List All Order Batches | Tool to list all order batches. Use when you need to paginate through your account's order batches. |
| `GOODY_LIST_ALL_ORDERS` | List All Orders | Retrieves a paginated list of all orders across all order batches in your Goody account. Returns order details including recipient information, cart items, amounts, status, and gift links. Supports pagination with customizable page size (1-100 orders per page). |
| `GOODY_LIST_ALL_PAYMENT_METHODS` | List All Payment Methods | Retrieves all saved payment methods for the authenticated account. Payment methods include credit cards and other payment types that can be used when creating orders. No parameters required - simply call this action to get the complete list of payment methods with their IDs, names, and details. |
| `GOODY_LIST_ALL_WORKSPACES` | List All Workspaces | Tool to list all workspaces. Use when you need to retrieve all workspaces associated with the account. |
| `GOODY_LIST_COLLECTIONS` | List Collections | Tool to list all collections across accessible workspaces. Use when you need to retrieve product collections available in Goody. This endpoint is limited to Automation API usage and returns paginated results. |
| `GOODY_LIST_ORDER_ACTIVITIES` | List Order Activities | Tool to list all order activities (events) in your workspace. Returns a paginated list of order status transitions and related events. Use when you need to track order lifecycle events, monitor status changes, or audit order history. |
| `GOODY_RETRIEVE_CURRENT_USER` | Retrieve Current User | Retrieve the current authenticated user's profile information from Goody API. This endpoint returns the email and public app ID associated with the authenticated account. Use this to verify authentication status or fetch the current user's account details. No parameters are required - authentication is handled via the Bearer token in headers. |
| `GOODY_RETRIEVE_PRODUCT` | Retrieve Product | Tool to retrieve details of a specific product by its ID. Use after obtaining the product ID. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Goody MCP server is an implementation of the Model Context Protocol that connects your AI agent to Goody. It provides structured and secure access so your agent can perform Goody operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

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

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

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 Goody.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
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';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
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(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only goody.
- The router checks the user's Goody connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Goody.
- This approach keeps things lightweight and lets the agent request Goody tools only when needed during the conversation.
```python
# Create a Goody Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["goody"]
)

mcp_url = session.mcp.url
```

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

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Goody. "
        "Help users perform Goody operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

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

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// 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);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["goody"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Goody. "
        "Help users perform Goody operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
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: ['goody'],
  });
  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 Goody. Help users perform Goody 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 Goody MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Goody.
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.

## How to build Goody MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/goody/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/goody/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/goody/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/goody/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/goody/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/goody/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/goody/framework/cli)
- [Google ADK](https://composio.dev/toolkits/goody/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/goody/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/goody/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/goody/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/goody/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/goody/framework/crew-ai)

## Related Toolkits

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- [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations.
- [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making.
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- [Cloudcart](https://composio.dev/toolkits/cloudcart) - CloudCart is an e-commerce platform for building and managing online stores. It helps businesses streamline product listings, orders, and customer engagement.
- [Countdown api](https://composio.dev/toolkits/countdown_api) - Countdown API gives you real-time, structured eBay product data, reviews, and seller feedback. Perfect for powering price monitoring, product research, or marketplace analytics workflows.
- [Dpd2](https://composio.dev/toolkits/dpd2) - Dpd2 is a robust email management platform for handling, sorting, and automating email workflows. Streamline your communications and boost productivity with advanced sorting, labeling, and response tools.
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- [Fingertip](https://composio.dev/toolkits/fingertip) - Fingertip is a business management platform for selling, booking, and customer engagement—all from a single link. It helps businesses streamline operations and connect with customers across social channels.
- [Fraudlabs pro](https://composio.dev/toolkits/fraudlabs_pro) - FraudLabs Pro is an online payment fraud detection service for e-commerce and merchants. It helps minimize chargebacks and revenue loss by detecting and preventing fraudulent transactions.
- [Gift up](https://composio.dev/toolkits/gift_up) - Gift Up! is a digital platform for selling, managing, and redeeming gift cards online. It streamlines promotions and gift card transactions for businesses and their customers.
- [Gumroad](https://composio.dev/toolkits/gumroad) - Gumroad is a platform for selling digital products, physical goods, and memberships with a simple checkout and marketing tools. It streamlines creator payouts and helps you grow your audience effortlessly.
- [Instacart](https://composio.dev/toolkits/instacart) - Instacart is an online grocery delivery and pickup service platform. It lets you discover local retailers and create shoppable lists and recipes with ease.
- [Junglescout](https://composio.dev/toolkits/junglescout) - Junglescout is an Amazon product research and analytics platform for sellers. It delivers sales estimates, competitive insights, and optimization tools to boost your Amazon business.
- [Ko fi](https://composio.dev/toolkits/ko_fi) - Ko-fi is a platform that lets creators receive donations, memberships, and sales from fans. It helps creators monetize their work and grow their audience with minimal friction.
- [Lemon squeezy](https://composio.dev/toolkits/lemon_squeezy) - Lemon Squeezy is a payments and subscription platform built for software companies. It makes managing payments, taxes, and customer subscriptions effortless.
- [Loyverse](https://composio.dev/toolkits/loyverse) - Loyverse is a point-of-sale (POS) platform for small businesses, offering tools for sales, inventory, and customer loyalty. It helps streamline retail operations and boost customer engagement.
- [Memberstack](https://composio.dev/toolkits/memberstack) - Memberstack lets you add user authentication, payments, and member management to your website—no backend code required. Easily manage your site's members and subscriptions from a single platform.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Goody MCP?

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

### Can I use Tool Router MCP with OpenAI Agents SDK?

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 Goody tools.

### Can I manage the permissions and scopes for Goody while using Tool Router?

Yes, absolutely. You can configure which Goody 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.

### How safe is my data with Composio Tool Router?

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 Goody data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)