How to Use the Kajabi MCP in Google ADK

Q: How do I initialize Kajabi inside the Google ADK?

Install the google-adk package. Configure a StreamableHttpServerParameters object with your Vinkius URL. Wrap it in an McpToolset and pass it to your LlmAgent.

Q: Can a Google ADK agent read my entire Kajabi course catalog?

It uses listcourses to pull the high-level inventory and getcoursedetails for specific modules. Gemini's 1M+ token window easily holds the entire structure in memory for complex reasoning tasks.

Q: Does the Google ADK support filtering Kajabi tools?

You pass a list of allowed strings to the toolnames parameter. If you only want the agent to read data, you exclude addtagtocontact from the array entirely.

Q: How do I handle multiple storefronts in my GCP project?

The agent calls listsites to retrieve your internal IDs. It then passes the correct ID into operations like listoffers to ensure it pulls data from the right property.

Q: Where do my customer purchase records go?

Data pulled via listpurchases routes through a zero-trust, ephemeral Vinkius endpoint. Authentication happens at the network layer, meaning your raw transaction data never rests on an external database.

Connect this Kajabi MCP Server to your Google ADK pipelines to feed massive customer datasets directly into Gemini.

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Connect Kajabi MCP to Google ADK

Create your Vinkius account to connect Kajabi 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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Setup Kajabi with Google ADK

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Perplexity

BigQuery Data Sync

The `list_purchases` and `list_orders` tools extract transaction histories straight from your storefront. Your Google ADK agent pulls this raw financial data and pipes it into BigQuery for long-term storage and analysis. You set up a scheduled Vertex AI job that reads these new orders every hour. Gemini analyzes the buying patterns against your existing cloud datasets to predict which users will buy your next product.

Long-Context Customer Analysis

Tools like `get_contact_details` and `list_customers` feed thousands of user profiles into Gemini's massive context window. You dump your entire active user base into a single prompt. The agent processes that massive payload to identify churn risks based on missing tags or stalled course progress. It then fires `add_tag_to_contact` to flag those specific accounts for your retention campaigns.

Filtered MCP Server Tools

The `get_course_details` and `list_blog_posts` tools expose your content inventory to the LLM. If you only want your agent to read data without modifying anything, you restrict the available operations. You use the `tool_names` filter in your `McpToolset` configuration to block write actions. The agent can read everything but physically cannot execute `remove_tag_from_contact` or alter your CRM.

Setup guide

Set up Kajabi 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

Install Google ADK

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

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

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 Kajabi 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="Kajabi_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Kajabi tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Kajabi MCP in Google ADK

Install the `google-adk` package. Configure a `StreamableHttpServerParameters` object with your Vinkius URL. Wrap it in an `McpToolset` and pass it to your `LlmAgent`.

It uses `list_courses` to pull the high-level inventory and `get_course_details` for specific modules. Gemini's 1M+ token window easily holds the entire structure in memory for complex reasoning tasks.

You pass a list of allowed strings to the `tool_names` parameter. If you only want the agent to read data, you exclude `add_tag_to_contact` from the array entirely.

The agent calls `list_sites` to retrieve your internal IDs. It then passes the correct ID into operations like `list_offers` to ensure it pulls data from the right property.

Data pulled via `list_purchases` routes through a zero-trust, ephemeral Vinkius endpoint. Authentication happens at the network layer, meaning your raw transaction data never rests on an external database.

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