# How to integrate Gumroad MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Gumroad MCP with OpenAI Agents SDK",
  "toolkit": "Gumroad",
  "toolkit_slug": "gumroad",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/gumroad/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/gumroad/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:14:28.066Z"
}
```

## Introduction

This guide walks you through connecting Gumroad to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Gumroad agent that can show all sales from the past week, list active subscriptions for your e-book, get your gumroad profile details through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Gumroad account through Composio's Gumroad MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Gumroad with

- [ChatGPT](https://composio.dev/toolkits/gumroad/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/gumroad/framework/antigravity)
- [Claude Agent SDK](https://composio.dev/toolkits/gumroad/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/gumroad/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/gumroad/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/gumroad/framework/codex)
- [Cursor](https://composio.dev/toolkits/gumroad/framework/cursor)
- [VS Code](https://composio.dev/toolkits/gumroad/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/gumroad/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/gumroad/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/gumroad/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/gumroad/framework/cli)
- [Google ADK](https://composio.dev/toolkits/gumroad/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/gumroad/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/gumroad/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/gumroad/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/gumroad/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/gumroad/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 Gumroad
- Configure an AI agent that can use Gumroad as a tool
- Run a live chat session where you can ask the agent to perform Gumroad 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 Gumroad MCP server, and what's possible with it?

The Gumroad MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gumroad account. It provides structured and secure access to your Gumroad business data, so your agent can review sales, manage subscriptions, handle webhook resources, and retrieve user profile details on your behalf.
- Sales data insights: Instantly pull reports on all successful sales, with options to filter by date, product, or customer email for real-time business tracking.
- Subscription management: Let your agent list, review, and manage all active resource subscriptions, making it easy to keep tabs on recurring customers and memberships.
- User profile retrieval: Fetch up-to-date profile details for your Gumroad account, giving your agent context for personalized actions or reporting.
- Webhook automation: Subscribe or unsubscribe from Gumroad resources to receive real-time event notifications, enabling seamless integration with your automation workflows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GUMROAD_GET_RESOURCE_SUBSCRIPTIONS` | Get Resource Subscriptions | Tool to show all active subscriptions of the user for the input resource. Use when you need to review existing webhooks before adding a new one. |
| `GUMROAD_GET_SALES` | Get Sales | Tool to retrieve all successful sales by the authenticated user; excludes failed charges, abandoned carts, and page views — conversion rates cannot be derived from this data. Use when you need to list your Gumroad sales, optionally filtering by email, date range, product, or pagination. For high sales volumes, combine product_id and/or after/before filters with page to avoid large unfiltered result sets. |
| `GUMROAD_GET_USER` | Get User | Tool to retrieve the authenticated user's data. Use when you need the current user's profile details after authentication. |
| `GUMROAD_LIST_PRODUCTS` | List Products | Tool to retrieve all products for the authenticated Gumroad account. Use when you need product IDs for downstream operations like license verification, subscriber retrieval, or offer-code management. |
| `GUMROAD_SUBSCRIBE_TO_RESOURCE` | Subscribe to Resource | Tool to subscribe to a resource. Use when you need to receive real-time event webhooks after creating your webhook endpoint. |
| `GUMROAD_UNSUBSCRIBE_FROM_RESOURCE` | Unsubscribe From Resource | Tool to unsubscribe from a resource. Use after verifying the subscription ID exists to remove webhook. |
| `GUMROAD_VERIFY_LICENSE` | Verify License | Tool to verify a Gumroad license key against a specific product. Use when you need to check if a license key is valid, check usage count, or verify membership entitlement for software licensing or gated content. |

## Supported Triggers

None listed.

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

The Gumroad MCP server is an implementation of the Model Context Protocol that connects your AI agent to Gumroad. It provides structured and secure access so your agent can perform Gumroad 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 Gumroad 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 Gumroad.
```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 gumroad.
- The router checks the user's Gumroad connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Gumroad.
- This approach keeps things lightweight and lets the agent request Gumroad tools only when needed during the conversation.
```python
# Create a Gumroad Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["gumroad"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Gumroad
const session = await composio.create(userId as string, {
  toolkits: ['gumroad'],
});
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 Gumroad. "
        "Help users perform Gumroad 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 Gumroad. Help users perform Gumroad 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=["gumroad"]
)
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 Gumroad. "
        "Help users perform Gumroad 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: ['gumroad'],
  });
  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 Gumroad. Help users perform Gumroad 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 Gumroad MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Gumroad.
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 Gumroad MCP Agent with another framework

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

## Related Toolkits

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- [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.
- [Finerworks](https://composio.dev/toolkits/finerworks) - FinerWorks is an online platform for fine art and photo printing services. Artists and photographers use it to order custom prints and manage print inventory efficiently.
- [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.
- [Goody](https://composio.dev/toolkits/goody) - Goody is a gifting platform that lets users send gifts and physical products without handling logistics. It streamlines gifting by managing delivery, fulfillment, and recipient experience.
- [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 Gumroad MCP?

With a standalone Gumroad MCP server, the agents and LLMs can only access a fixed set of Gumroad tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Gumroad 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 Gumroad tools.

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

Yes, absolutely. You can configure which Gumroad 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 Gumroad data and credentials are handled as safely as possible.

---
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