# How to integrate Payhip MCP with LangChain

```json
{
  "title": "How to integrate Payhip MCP with LangChain",
  "toolkit": "Payhip",
  "toolkit_slug": "payhip",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/payhip/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/payhip/framework/langchain.md",
  "updated_at": "2026-05-12T10:21:32.046Z"
}
```

## Introduction

This guide walks you through connecting Payhip to LangChain using the Composio tool router. By the end, you'll have a working Payhip agent that can notify me when a digital product is sold, alert on refunded payments this week, track new membership subscriptions daily through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Payhip account through Composio's Payhip MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Payhip with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Payhip project to Composio
- Create a Tool Router MCP session for Payhip
- Initialize an MCP client and retrieve Payhip tools
- Build a LangChain agent that can interact with Payhip
- 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 Payhip MCP server, and what's possible with it?

The Payhip MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Payhip account. It provides structured and secure access to your Payhip store’s events and transactions, so your agent can respond to new purchases, handle refunds, and manage customer subscriptions automatically.
- Automated purchase handling: Let your agent detect and process completed sales in real time, enabling instant actions or notifications when a customer makes a purchase.
- Refund event response: Have your agent react to payment refunds, updating records or informing support teams as soon as a refund is issued.
- Subscription management automation: Empower your agent to handle new subscription signups by processing Payhip's subscription.created events for seamless onboarding or customer engagement.
- Subscription cancellation detection: Ensure your agent responds immediately to subscription.deleted events, so you can trigger follow-ups or update your CRM when a customer cancels their subscription.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PAYHIP_CREATE_COUPON` | Create Coupon | Tool to create a coupon for discounts in Payhip. Use when you need to create a new coupon code with either percentage or fixed amount discounts. Coupons can apply to single products, all products, or collections. |
| `PAYHIP_DELETE_COUPON` | Delete Coupon | Tool to delete a coupon by ID. Use when you need to remove a coupon from the Payhip account. Only available in v1 API. |
| `PAYHIP_GET_COUPON` | Get Coupon | Tool to retrieve a coupon with the given ID. Use when you need to fetch details about a specific coupon from Payhip. |
| `PAYHIP_UPDATE_COUPON` | Update Coupon | Tool to edit an existing coupon in Payhip. Use when you need to modify coupon details like code, percentage, expiry, or usage limit. Only available in v1 API. |
| `PAYHIP_VERIFY_COUPON` | Verify Coupon | Tool to verify a Payhip coupon code. Use when you need to check if a coupon code is valid and retrieve its details. Only available in v1 API. |
| `PAYHIP_PAYHIP_WEBHOOK_EVENT_PAID` | Webhook Event - Paid | Tool to process Payhip's paid webhook event. Use when handling a purchase completion webhook from Payhip. |
| `PAYHIP_PAYHIP_WEBHOOK_EVENT_REFUNDED` | Webhook Event - Refunded Payment | Tool to process Payhip's refunded webhook event. Use when handling a payment refund event from Payhip. |
| `PAYHIP_PAYHIP_WEBHOOK_EVENT_SUBSCRIPTION_CREATED` | Webhook Event - Subscription Created | Tool to process Payhip's subscription.created webhook event. Use when handling a subscription start event from Payhip. |
| `PAYHIP_PAYHIP_WEBHOOK_EVENT_SUBSCRIPTION_DELETED` | Webhook Event - Subscription Deleted | Tool to process Payhip's 'subscription.deleted' webhook event. Use when handling a subscription cancellation event from Payhip. |

## Supported Triggers

None listed.

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

The Payhip MCP server is an implementation of the Model Context Protocol that connects your AI agent to Payhip. It provides structured and secure access so your agent can perform Payhip 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 Payhip 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 Payhip 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 Payhip tools as needed
```python
# Create Tool Router session for Payhip
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['payhip']
)

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "payhip-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({
    "payhip-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 Payhip 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 Payhip 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=['payhip']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "payhip-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 Payhip 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: ['payhip']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "payhip-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 Payhip 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 Payhip 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 Payhip MCP Agent with another framework

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

## Frequently Asked Questions

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

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

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

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

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