Lemon Squeezy MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
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.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Lemon Squeezy, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Lemon Squeezy, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Lemon Squeezy tools and transform it with OpenAI models in a single async loop
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:
cancel_subscription
The customer will retain access until the end of the current billing cycle. Cancel an active subscription
get_customer_details
Get details for a specific customer
get_order_details
Get details for a specific order
get_product_details
Get details for a specific product
get_store_details
Get details for a specific store
get_subscription_details
Get details for a specific subscription
list_all_customers
List all customers
list_all_orders
List all orders
list_all_products
List all products available in your account
list_all_subscriptions
List all active and historical subscriptions
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.
"List all products in my Lemon Squeezy account."
"Show my 5 most recent orders."
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Lemon Squeezy + OpenAI Agents SDK FAQ
Common questions about integrating Lemon Squeezy MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Lemon Squeezy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
