How to Use the Kajabi MCP in Mastra AI

Q: What tools should I use for Kajabi cleanup in Mastra AI?

Use listtags to audit your system and removetagfromcontact to prune stale segments. Your agents can run these on a schedule.

Build reliable Kajabi workflows with Mastra AI and automated error handling for your business logic.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Kajabi MCP to Mastra AI

Create your Vinkius account to connect Kajabi to Mastra AI 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 Mastra AI

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Automated tagging workflows in Mastra AI

Chain `list_contacts` and `add_tag_to_contact` together inside your agents. If a tag assignment fails, the workflow engine automatically retries the operation. This removes the manual work of tracking segment status. Your agents handle the logic, and you define the success criteria for every customer update.

Conditional course access logic

Use `get_course_details` to verify progress before taking action. Your agent can branch its logic based on the specific course data returned by the tool. It handles complex business rules without extra code. If a student finishes a module, the agent triggers the next step immediately.

Multi-site order management

Query `list_sites` to grab the right ID, then pull `list_orders` across your entire business. The MCP Server maps these requests to the correct site context. This keeps your agents focused on the right data. No more hardcoding IDs or guessing which site an order belongs to during the workflow execution.

Setup guide

Set up Kajabi MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Kajabi tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "kajabi-mcp-client",
  servers: {
    "kajabi-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Kajabi Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Kajabi tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Kajabi transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kajabi. 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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visibility into every interaction

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

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Kajabi MCP in Mastra AI

Use our provided test suite to mock responses. This lets you verify your `add_tag_to_contact` logic before you ever hit the live API.

Yes. The framework manages tool execution timing. You can set up retries so that a temporary rate limit doesn't break your entire agent workflow.

Absolutely. You inject your auth token into the client configuration. It never sits in your repository or logs.

Use `list_tags` to audit your system and `remove_tag_from_contact` to prune stale segments. Your agents can run these on a schedule.

We use a zero-trust architecture. Data like order IDs and customer names stays in memory during the request and isn't cached on our end.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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