How to Use the Lemon Squeezy MCP in OpenAI Agents SDK

Q: What is the fastest way to test product lookup tools?

Pass listallproducts to your OpenAI agent inside a local test script. The agent calls getproductdetails to verify it can read your Lemon Squeezy catalog data before you deploy the system to production.

Run production-ready OpenAI Agents SDK setups that can check Lemon Squeezy store revenue and cancel subscriptions safely.

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Connect Lemon Squeezy MCP to OpenAI Agents SDK

Create your Vinkius account to connect Lemon Squeezy to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lemon Squeezy with OpenAI Agents SDK

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Safe subscription management for OpenAI Agents SDK

The `cancel_subscription` tool lets your OpenAI Agents SDK setup process Lemon Squeezy cancellations at the end of the current billing cycle. You configure standard OpenAI guardrails to prevent accidental triggers, ensuring the agent verifies customer status before executing the call. When a customer requests a stop to their Lemon Squeezy service, the OpenAI agent first calls `get_subscription_details` to verify eligibility. It then runs the cancellation and logs the event, giving you a safe, automated churn management loop without manual support ticket handling.

Retrieve order and customer history

The `get_order_details` tool fetches raw purchase records directly from your storefront to the OpenAI Agents SDK environment. Your agent uses this data to answer customer billing inquiries, matching email addresses against live Lemon Squeezy database records. By using `list_all_customers` alongside `get_customer_details`, your system builds a timeline of customer interactions. OpenAI's tracing dashboard tracks these tool calls, showing you exactly how the agent resolved each Lemon Squeezy support request.

Store and catalog exploration

The `list_stores` tool retrieves all active store environments connected to your Lemon Squeezy account directly into your OpenAI Agents SDK. This allows multi-tenant configurations where an agent needs to confirm which storefront it should query before running other commands. Once the store is selected, `list_all_products` and `get_product_details` pull live catalog items, pricing, and variant IDs. Your OpenAI agent references this data during sales conversations, quoting exact prices directly from your live Lemon Squeezy inventory.

Setup guide

Set up Lemon Squeezy MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Lemon Squeezy tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Lemon Squeezy tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Lemon Squeezy tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Lemon Squeezy Agent",
            instructions="You have access to Lemon Squeezy tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lemon Squeezy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Lemon Squeezy MCP in OpenAI Agents SDK

Install the package and pass the Vinkius HTTP endpoint into your agent constructor. The SDK auto-discovers Lemon Squeezy tools like `list_stores` and `get_store_details` during initialization, making them immediately available for agent decisions.

Yes, you define guardrails in Python to block write-heavy tools like `cancel_subscription`. You can also configure agent handoffs, ensuring a specialized OpenAI agent only handles read-only tools like `list_all_orders` while another handles modifications.

The SDK respects standard API headers and handles retries automatically. If your OpenAI agent runs high-volume queries using `list_all_customers`, the agent manages pagination tokens behind the scenes to keep data flowing without crashes.

Pass `list_all_products` to your OpenAI agent inside a local test script. The agent calls `get_product_details` to verify it can read your Lemon Squeezy catalog data before you deploy the system to production.

Vinkius runs this server inside an isolated, zero-trust V8 sandbox that destroys itself after execution. Your customer emails, order values, and subscription statuses are processed in memory and never stored on the hosting platform.

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