How do I create a Polar Personal Access Token?

Log in to the [**Polar Dashboard**](https://polar.sh), go to **Settings > Developer > Personal Access Tokens**, click **Create Token**, give it a name and copy the token immediately — it starts with `polar_pat_` and won't be shown again.

Can I check my subscription revenue?

Yes! Use `list_subscriptions` with status 'active' to see all active subscriptions, and `list_orders` to see completed orders with their amounts. Combine both to get a full picture of your recurring and one-time revenue.

Can I create checkout links programmatically?

Yes! Use `create_checkout` with a product_id and optionally a customer_id and discount_id. This creates a checkout session that returns a URL you can share with customers or embed in your app.

Polar MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Polar
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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="Polar Assistant",
            instructions=(
                "You help users interact with Polar. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Polar MCP Server

Connect your Polar account to any AI agent and take full control of your digital commerce operations through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Polar through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Polar, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Product Management — List, retrieve and audit all products (one-time, subscription, free) with pricing and metadata
Subscription Tracking — Monitor active, canceled and past_due subscriptions with billing periods and customer info
Order & Revenue — List completed orders with amounts, currency, payment status and customer details
Customer Discovery — Browse customers by email, name and purchase history
Discount Management — List, create and audit discount codes with percentage or fixed-amount types
Checkout Operations — Create checkout sessions for products and track open, expired and confirmed checkouts
Webhook Audit — Review configured webhook endpoints and their subscribed events

The Polar MCP Server exposes 10 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 Polar to OpenAI Agents SDK via MCP

Follow these steps to integrate the Polar 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 10 tools from Polar

Why Use OpenAI Agents SDK with the Polar MCP Server

OpenAI Agents SDK provides unique advantages when paired with Polar 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

Polar + OpenAI Agents SDK Use Cases

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

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

Multi-agent orchestration: create specialist agents. one queries Polar, another analyzes results, a third generates reports

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

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

Polar MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Polar to OpenAI Agents SDK via MCP:

create_checkout

Requires the product ID. Optionally associate with an existing customer and apply a discount. Returns the checkout session with its URL that you can redirect customers to for payment. Create a new checkout session in Polar

create_discount

Requires the name, code, type (percentage or fixed_amount), and amount. Optionally set the duration (once, forever, repeating). The discount can be applied during checkout. Create a new discount code in Polar

get_product

Provide the product ID (UUID format). Get details for a specific Polar product

list_checkouts

Each checkout shows its status (open, expired, confirmed), associated product, customer, and creation date. Useful for tracking abandoned and completed checkouts. List checkout sessions in your Polar store

list_customers

Each customer shows their email, name, billing address, and metadata. Optionally filter by email to find a specific customer. List customers in your Polar store

list_discounts

Each discount shows its code, type (percentage, fixed_amount), amount, duration (once, forever, repeating), and active status. Use this to audit your promotional offers. List discount codes in your Polar store

list_orders

Each order shows the customer, product, amount, currency, payment status, and creation date. Useful for tracking revenue and verifying successful transactions. List orders in your Polar store

list_products

Each product includes its name, description, price, type (one-time, subscription, free), and metadata. Use this to audit your product catalog and see what you are selling. List products in your Polar store

list_subscriptions

Each subscription shows the customer, product, status (active, past_due, canceled, expired, incomplete, trialing), current period start/end dates, and amount. Optionally filter by status and set a limit. List subscriptions in your Polar store

list_webhooks

Each webhook shows its URL, subscribed events (order.created, subscription.active, etc.), and status. Use this to audit your event integrations. List webhook endpoints in your Polar store

Example Prompts for Polar in OpenAI Agents SDK

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

"Show me all active subscriptions and their total monthly revenue."

"Create a 20% discount code called 'LAUNCH20' for the summer sale."

"Show me all orders from the last 30 days."

Troubleshooting Polar MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Polar + OpenAI Agents SDK FAQ

Common questions about integrating Polar MCP Server with OpenAI Agents SDK.

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.