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 LangChain 10 tools — connect in under 2 minutes

Name: Polar
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Polar through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "polar": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Polar, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Polar through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Polar MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Polar via MCP

Why Use LangChain with the Polar MCP Server

LangChain provides unique advantages when paired with Polar through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Polar MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Polar queries for multi-turn workflows

Polar + LangChain Use Cases

Practical scenarios where LangChain combined with the Polar MCP Server delivers measurable value.

RAG with live data: combine Polar tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Polar, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Polar tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Polar tool call, measure latency, and optimize your agent's performance

Polar MCP Tools for LangChain (10)

These 10 tools become available when you connect Polar to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Polar to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Polar + LangChain FAQ

Common questions about integrating Polar MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.