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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Kiwify MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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.
Why Choose Vinkius
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Real-time monitoring
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
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Common questions about Kiwify MCP in Google ADK
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