# How to integrate Lemon squeezy MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Lemon squeezy MCP with OpenAI Agents SDK",
  "toolkit": "Lemon squeezy",
  "toolkit_slug": "lemon_squeezy",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/lemon_squeezy/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/lemon_squeezy/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:17:24.755Z"
}
```

## Introduction

This guide walks you through connecting Lemon squeezy to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Lemon squeezy agent that can list all recent orders for your store, create a new customer with email address, show all active discounts available now through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Lemon squeezy account through Composio's Lemon squeezy MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Lemon squeezy with

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

The Lemon Squeezy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Lemon Squeezy account. It provides structured and secure access to your e-commerce operations, so your agent can perform actions like managing customers, tracking orders, retrieving discounts, and handling subscriptions on your behalf.
- Customer creation and management: Quickly add new customers or pull up detailed customer lists, streamlining your onboarding and support flows.
- Order tracking and retrieval: Effortlessly fetch a paginated list of orders or drill down to specific order items to monitor sales activity and fulfillment status.
- Discount and affiliate insights: Retrieve all active discounts or affiliate partners, making it a breeze to analyze promotions and partner performance.
- Checkout and price listing: Access and filter all checkouts or prices across your stores and variants, helping you keep tabs on your sales funnels and product offerings.
- License key and redemption management: List all license key instances and track discount redemptions, ensuring easy oversight of software access and promotional usage.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LEMON_SQUEEZY_CREATE_CUSTOMER` | Create Customer | Tool to create a new customer. Use after verifying the store exists and you need to add a customer to it. Example: "Create a customer John Doe with email johndoe@example.com in store 1." |
| `LEMON_SQUEEZY_CREATE_DISCOUNT` | Create Discount | Tool to create a new discount code in Lemon Squeezy. Use when you need to create promotional discounts for products or subscriptions. Example: "Create a discount code SUMMER20 with 20% off in store 123." |
| `LEMON_SQUEEZY_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook for receiving event notifications. Use when you need to register a webhook endpoint to receive events like order_created, subscription_created, etc. Specify the webhook URL, signing secret, and event types to subscribe to. |
| `LEMON_SQUEEZY_DELETE_DISCOUNT` | Delete Discount | Tool to delete a discount by its ID. Use when you need to permanently remove a discount from a store. |
| `LEMON_SQUEEZY_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook. Use when you need to remove a registered webhook endpoint. |
| `LEMON_SQUEEZY_LIST_ALL_AFFILIATES` | List All Affiliates | Tool to list all affiliates. Use when you need to retrieve affiliates with optional filters and pagination. |
| `LEMON_SQUEEZY_LIST_ALL_CHECKOUTS` | List All Checkouts | Tool to list all checkouts. Use when you need a paginated list of checkouts, optionally filtering by store or variant. |
| `LEMON_SQUEEZY_LIST_ALL_CUSTOMERS` | List All Customers | Retrieves a paginated list of all customers from your Lemon Squeezy store(s). Returns customer details including email, name, location, revenue metrics (MRR, total revenue), marketing status, and relationships to orders, subscriptions, and license keys. Use this action to: - Get all customers across stores or filter by specific store_id - Find a customer by email address - List customers with pagination support (default 10 per page, max 100) - Access customer portal URLs and relationship links All parameters are optional. Without filters, returns all customers ordered by creation date (newest first). |
| `LEMON_SQUEEZY_LIST_ALL_DISCOUNT_REDEMPTIONS` | List All Discount Redemptions | Tool to list all discount redemptions. Use when you need a paginated list of discount redemptions, optionally filtering by discount or order. |
| `LEMON_SQUEEZY_LIST_ALL_DISCOUNTS` | List All Discounts | Tool to list all discounts. Use when you need a paginated list of discounts after confirming authentication. |
| `LEMON_SQUEEZY_LIST_ALL_FILES` | List All Files | Retrieves a paginated list of files from Lemon Squeezy. Use this to get digital goods that can be downloaded by customers after purchase. Each file belongs to a variant and includes download URLs (signed, expiring after 1 hour, rate-limited to 10 downloads/day/IP). Filter by variant ID or control pagination with page number and size. |
| `LEMON_SQUEEZY_LIST_ALL_LICENSE_KEY_INSTANCES` | List All License Key Instances | Tool to list all license key instances. Use when you need a paginated list of license key instances, optionally filtering by license key ID. |
| `LEMON_SQUEEZY_LIST_ALL_LICENSE_KEYS` | List All License Keys | Tool to list all license keys. Use when you need a paginated list of license keys, optionally filtering by store, order, order item, or product. |
| `LEMON_SQUEEZY_LIST_ALL_ORDER_ITEMS` | List All Order Items | Tool to list all order items. Use when you need a paginated list of order items, optionally filtered by order, product, or variant. Note: the `first_order_item` field on an order object returns only one item; use `filter_order_id` here to retrieve all line items for multi-item orders. |
| `LEMON_SQUEEZY_LIST_ALL_ORDERS` | List All Orders | Tool to list all orders. Use when you need a paginated list of orders, optionally filtering by store or user email. Monetary fields (e.g., `subtotal`, `tax`, `total`) are integers in the smallest currency unit (e.g., cents); use `*_formatted` variants for display only, not calculations. |
| `LEMON_SQUEEZY_LIST_ALL_PRICES` | List All Prices | Tool to list all prices. Use when you need a paginated list of all prices, optionally filtering by variant. |
| `LEMON_SQUEEZY_LIST_ALL_PRODUCTS` | List All Products | List all products from your Lemon Squeezy store with pagination and filtering. Returns a paginated list of products ordered by name. Each product includes pricing, status, thumbnails, checkout URLs, and metadata. Useful for browsing your product catalog, checking product details, or filtering by store. |
| `LEMON_SQUEEZY_LIST_ALL_STORES` | List All Stores | Retrieves a paginated list of all stores belonging to the authenticated Lemon Squeezy account. This action returns comprehensive store information including store details (name, slug, domain, URL), financial metrics (total sales/revenue, 30-day sales/revenue), configuration (plan, country, currency), and relationship links to associated resources (products, orders, subscriptions, discounts, license keys, webhooks, and affiliates). Returns stores ordered by name in ascending order with pagination metadata. No input parameters required. Use this as a starting point to discover available stores before working with other store-specific resources. |
| `LEMON_SQUEEZY_LIST_ALL_SUBSCRIPTION_INVOICES` | List All Subscription Invoices | Tool to list all subscription invoices. Use when you need a paginated list of subscription invoices with optional filters. |
| `LEMON_SQUEEZY_LIST_ALL_SUBSCRIPTION_ITEMS` | List All Subscription Items | Tool to list all subscription items. Use when you need a paginated list of items across subscriptions for reporting or auditing. |
| `LEMON_SQUEEZY_LIST_ALL_SUBSCRIPTIONS` | List All Subscriptions | Tool to list all subscriptions. Use when you need a paginated list of subscriptions, optionally filtered by store, order, product, or status. |
| `LEMON_SQUEEZY_LIST_ALL_USAGE_RECORDS` | List All Usage Records | Retrieves all usage records from Lemon Squeezy, with optional filtering and pagination. Usage records track consumption for usage-based billing on subscription items. Each record represents reported usage with a quantity and action type (increment or set). Records are returned in descending order by creation date (newest first). Use this when you need to: - View all usage records across subscription items - Filter usage records for a specific subscription item - Paginate through large sets of usage records Note: Returns an empty list if no usage records exist or the filter matches nothing. |
| `LEMON_SQUEEZY_LIST_ALL_VARIANTS` | List All Variants | Retrieves a paginated list of product variants from Lemon Squeezy. A variant represents a variation of a product with its own pricing options, files, and license key settings. You can filter by product ID and status (pending/draft/published), and control pagination with page number and size. |
| `LEMON_SQUEEZY_LIST_ALL_WEBHOOKS` | List All Webhooks | Tool to list all webhooks. Use when you need to retrieve registered webhooks. Supports optional filtering by store ID and pagination parameters for controlling result size and navigation. |
| `LEMON_SQUEEZY_RETRIEVE_AUTHENTICATED_USER` | Retrieve Authenticated User | Tool to retrieve the currently authenticated user from Lemon Squeezy. Use when you need to get details about the user associated with the current API key, including their name, email, avatar, and account timestamps. |
| `LEMON_SQUEEZY_RETRIEVE_CUSTOMER` | Retrieve Customer | Tool to retrieve a specific customer by their ID. Use when you need detailed information about a single customer including their email, name, location, revenue metrics, and relationships to orders and subscriptions. |
| `LEMON_SQUEEZY_RETRIEVE_DISCOUNT` | Retrieve Discount | Tool to retrieve a single discount by ID. Use when you need details about a specific discount. |
| `LEMON_SQUEEZY_RETRIEVE_STORE` | Retrieve Store | Tool to retrieve a store by its ID. Use when you need to get detailed information about a specific store. Returns comprehensive store data including financial metrics, configuration, and related resource links. |
| `LEMON_SQUEEZY_RETRIEVE_WEBHOOK` | Retrieve Webhook | Tool to retrieve a webhook by its ID. Use when you need to get details of a specific webhook configuration. |
| `LEMON_SQUEEZY_UPDATE_CUSTOMER` | Update Customer | Tool to update an existing customer with the given ID. Use when you need to modify customer details like name, email, or address information. At least one attribute field must be provided to update. |
| `LEMON_SQUEEZY_UPDATE_WEBHOOK` | Update Webhook | Tool to update an existing webhook. Use when you need to modify the URL, events, or secret for a registered webhook. |
| `LEMON_SQUEEZY_VALIDATE_LICENSE` | Validate License | Tool to validate a license key and optionally a specific license key instance. Use when you need to check if a license key is valid and active. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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

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

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

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