How do I list all active offers in my Kajabi account?

Use the `list_offers` tool. It retrieves a comprehensive list of all offers you have configured, allowing you to audit pricing and product associations.

Can I see the technical details for a specific course?

Yes! Use the `get_product_details` tool with the Product ID. Your agent will fetch the metadata, title, and current status for that specific digital product.

Does the integration allow auditing customer purchases?

Absolutely. You can use the `list_purchases` and `list_orders` tools to monitor individual transaction history and verify which customers have access to specific offers.

Kajabi MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Kajabi
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Kajabi through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Kajabi "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Kajabi?"
    )
    print(result.data)

asyncio.run(main())

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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 Kajabi MCP Server

Empower your AI agent to orchestrate your entire digital product ecosystem with Kajabi. This unified server provides your agent with instant access to course management, customer relationship auditing, and sales monitoring. Your agent can instantly list your contacts, audit product offers, and retrieve detailed purchase history without you ever touching the Kajabi dashboard. Whether you are monitoring marketing performance or managing student access, your agent acts as a dedicated business operations manager through natural conversation.

Pydantic AI validates every Kajabi tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Contact Intelligence — List all contacts and retrieve detailed metadata to analyze your audience demographics.
Product Auditing — Fetch complete information for your courses and digital products, including technical identifiers.
Sales Monitoring — Retrieve lists of all financial orders and individual purchases to track revenue trends.
Offer Management — List and inspect all active offers and their associated products in your account.
Site Content — Access blog posts and other site data to monitor your content strategy and distribution.

The Kajabi MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Kajabi to Pydantic AI via MCP

Follow these steps to integrate the Kajabi MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Kajabi with type-safe schemas

Why Use Pydantic AI with the Kajabi MCP Server

Pydantic AI provides unique advantages when paired with Kajabi through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Kajabi integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Kajabi connection logic from agent behavior for testable, maintainable code

Kajabi + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Kajabi MCP Server delivers measurable value.

Type-safe data pipelines: query Kajabi with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Kajabi tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Kajabi and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Kajabi responses and write comprehensive agent tests

Kajabi MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Kajabi to Pydantic AI via MCP:

get_contact_details

Get contact details

get_offer_details

Get offer details

get_product_details

Get product details

list_blog_posts

List all blog posts

list_contacts

List all contacts

list_customers

List all customers

list_offers

List all offers

list_orders

List all orders

list_products

List all products

list_purchases

List all purchases

Example Prompts for Kajabi in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Kajabi immediately.

"List all contacts in my Kajabi account."

"Show me all financial orders from the last month."

"What courses are currently active in my account?"

Troubleshooting Kajabi MCP Server with Pydantic AI

Common issues when connecting Kajabi to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Kajabi + Pydantic AI FAQ

Common questions about integrating Kajabi MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Kajabi MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.