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How to Use the Kiwify MCP in Google ADK

Integrate Kiwify with Google ADK to process high-volume digital product data and sales analytics on Google Cloud infrastructure.

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Google ADK

Connect Kiwify MCP to Google ADK

Create your Vinkius account to connect Kiwify to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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BigQuery-ready data access for Google ADK agents

Your agent acts as a bridge between your Kiwify store and your cloud infrastructure. By executing `list_sales_history`, it pulls raw transaction logs for downstream analysis. Feed this data into your BigQuery tables to run cohort analysis. Use `get_sale_details` to verify specific transaction values before your agent archives the records.

Product catalog synchronization

Maintain a unified source of truth for your digital goods. The `list_products` tool allows your agent to scan your entire Kiwify inventory. When you need to update internal pricing models or metadata, `get_product_details` retrieves the exact specs. Your agent then maps this data to your cloud-based application state.

Lifecycle management of sales notifications

Configure your event-driven architecture directly from the agent. Use `create_notification_webhook` to point Kiwify events toward your Google Cloud functions. If you migrate your backend, use `list_configured_webhooks` to audit current traffic. The `delete_notification_webhook` tool allows your agent to clean up stale routes instantly.

Setup guide

Set up Kiwify MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Kiwify tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Kiwify_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Kiwify tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kiwify. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Kiwify MCP in Google ADK

You use the McpToolset with your server URL to link the two. This allows your agent to call Kiwify functions like `get_account_summary` natively.
Absolutely. Your agent uses `list_sales_history` to retrieve data that you can then pipe into your Google Cloud analytics workflows.
It does. Your agent uses `list_active_subscriptions` to monitor your recurring revenue and update your cloud-based reporting dashboards.
All communication occurs over an encrypted MCP tunnel. The server requires an endpoint token, ensuring only your agent can fetch your account summary.
The server handles transaction records, product details, and subscription status. It does not store this info; it only passes it to your agent for immediate processing.

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