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Lemon Squeezy MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Lemon Squeezy through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Lemon Squeezy Assistant",
            instructions=(
                "You help users interact with Lemon Squeezy. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Lemon Squeezy"
        )
        print(result.final_output)

asyncio.run(main())
Lemon Squeezy
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About Lemon Squeezy MCP Server

Connect your Lemon Squeezy account to any AI agent to automate your software sales and subscription management. This MCP server enables your agent to interact with stores, products, orders, and customer subscriptions directly from natural language interfaces using the JSON:API standard.

The OpenAI Agents SDK auto-discovers all 11 tools from Lemon Squeezy through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Lemon Squeezy, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

  • Store Oversight — List all your Lemon Squeezy stores and retrieve detailed configurations and metadata
  • Product Management — Query your entire product catalog, including pricing, status, and purchase URLs
  • Order Tracking — List and retrieve detailed information for customer orders, including financial totals and payment status
  • Subscription Lifecycle — Monitor active subscriptions, retrieve renewal dates, and cancel plans when necessary
  • Customer CRM — Manage customer profiles and retrieve their complete purchase and subscription history

The Lemon Squeezy MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lemon Squeezy to OpenAI Agents SDK via MCP

Follow these steps to integrate the Lemon Squeezy MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 11 tools from Lemon Squeezy

Why Use OpenAI Agents SDK with the Lemon Squeezy MCP Server

OpenAI Agents SDK provides unique advantages when paired with Lemon Squeezy through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Lemon Squeezy + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Lemon Squeezy MCP Server delivers measurable value.

01

Automated workflows: build agents that query Lemon Squeezy, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries Lemon Squeezy, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Lemon Squeezy tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Lemon Squeezy to resolve tickets, look up records, and update statuses without human intervention

Lemon Squeezy MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect Lemon Squeezy to OpenAI Agents SDK via MCP:

01

cancel_subscription

The customer will retain access until the end of the current billing cycle. Cancel an active subscription

02

get_customer_details

Get details for a specific customer

03

get_order_details

Get details for a specific order

04

get_product_details

Get details for a specific product

05

get_store_details

Get details for a specific store

06

get_subscription_details

Get details for a specific subscription

07

list_all_customers

List all customers

08

list_all_orders

List all orders

09

list_all_products

List all products available in your account

10

list_all_subscriptions

List all active and historical subscriptions

11

list_stores

List all stores in your Lemon Squeezy account

Example Prompts for Lemon Squeezy in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Lemon Squeezy immediately.

01

"List all products in my Lemon Squeezy account."

02

"Show my 5 most recent orders."

03

"Get details for subscription ID '98765'."

Troubleshooting Lemon Squeezy MCP Server with OpenAI Agents SDK

Common issues when connecting Lemon Squeezy to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Lemon Squeezy + OpenAI Agents SDK FAQ

Common questions about integrating Lemon Squeezy MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect Lemon Squeezy to OpenAI Agents SDK

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.