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 Vercel AI SDK 10 tools — connect in under 2 minutes

Name: Polar
Availability: InStock
Author: Vinkius

ai-sdk.dev/docs/ai-sdk-core/mcp

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Polar through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Polar, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* 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 Vercel AI SDK gives every Polar tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI 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 Vercel AI SDK via MCP

Follow these steps to integrate the Polar MCP Server with Vercel AI SDK.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 10 tools from Polar and passes them to the LLM

Why Use Vercel AI SDK with the Polar MCP Server

Vercel AI SDK provides unique advantages when paired with Polar through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Polar integration everywhere

Built-in streaming UI primitives let you display Polar tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Polar + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Polar MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Polar in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Polar tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Polar capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Polar through natural language queries

Polar MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Polar to Vercel AI 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 Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Polar + Vercel AI SDK FAQ

Common questions about integrating Polar MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.