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Vinkius

Polar MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Polar as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="polar_agent",
    instruction=(
        "You help users interact with Polar "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Polar
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

Google ADK natively supports Polar as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Polar MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Polar via MCP

Why Use Google ADK with the Polar MCP Server

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

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Polar

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Polar tools with BigQuery, Vertex AI, and Cloud Functions

Polar + Google ADK Use Cases

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

01

Enterprise data agents: ADK agents query Polar and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Polar tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Polar regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Polar

Polar MCP Tools for Google ADK (10)

These 10 tools become available when you connect Polar to Google ADK via MCP:

01

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

02

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

03

get_product

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

04

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

05

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

06

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

07

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

08

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

09

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

10

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 Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Polar immediately.

01

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

02

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

03

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

Troubleshooting Polar MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Polar + Google ADK FAQ

Common questions about integrating Polar MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Polar to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.