# How to integrate Gumroad MCP with LangChain

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

## Introduction

This guide walks you through connecting Gumroad to LangChain 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 LangChain 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)
- [OpenAI Agents SDK](https://composio.dev/toolkits/gumroad/framework/open-ai-agents-sdk)
- [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)
- [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
- Connect your Gumroad project to Composio
- Create a Tool Router MCP session for Gumroad
- Initialize an MCP client and retrieve Gumroad tools
- Build a LangChain agent that can interact with Gumroad
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## 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

No description provided.

### 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).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Gumroad tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Gumroad tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Gumroad tools as needed
```python
# Create Tool Router session for Gumroad
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['gumroad']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['gumroad']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "gumroad-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "gumroad-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Gumroad related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Gumroad related question or task to the agent.\n");

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

rl.prompt();

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

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

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

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['gumroad']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "gumroad-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Gumroad related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['gumroad']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "gumroad-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Gumroad related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Gumroad through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## 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)
- [OpenAI Agents SDK](https://composio.dev/toolkits/gumroad/framework/open-ai-agents-sdk)
- [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)
- [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

- [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation.
- [Asin data api](https://composio.dev/toolkits/asin_data_api) - Asin data api gives you detailed, real-time product data from Amazon, including price, rank, and reviews. Perfect for e-commerce pros and data-driven marketers who need instant marketplace insights.
- [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.
- [Btcpay server](https://composio.dev/toolkits/btcpay_server) - BTCPay Server is a free, open-source, self-hosted Bitcoin payment processor. It lets merchants accept Bitcoin payments directly, cutting out middlemen and boosting privacy.
- [Cdr platform](https://composio.dev/toolkits/cdr_platform) - Cdr platform is an API for purchasing carbon dioxide removal services. It enables businesses to offset emissions by accessing verified carbon removal projects.
- [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 LangChain?

Yes, you can. LangChain 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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