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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kajabi as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Kajabi. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
Kajabi
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* 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.

LlamaIndex agents combine Kajabi tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Kajabi MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 10 tools from Kajabi

Why Use LlamaIndex with the Kajabi MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Kajabi tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Kajabi tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Kajabi, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Kajabi tools were called, what data was returned, and how it influenced the final answer

Kajabi + LlamaIndex Use Cases

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

01

Hybrid search: combine Kajabi real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Kajabi to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Kajabi for fresh data

04

Analytical workflows: chain Kajabi queries with LlamaIndex's data connectors to build multi-source analytical reports

Kajabi MCP Tools for LlamaIndex (10)

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

01

get_contact_details

Get contact details

02

get_offer_details

Get offer details

03

get_product_details

Get product details

04

list_blog_posts

List all blog posts

05

list_contacts

List all contacts

06

list_customers

List all customers

07

list_offers

List all offers

08

list_orders

List all orders

09

list_products

List all products

10

list_purchases

List all purchases

Example Prompts for Kajabi in LlamaIndex

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

01

"List all contacts in my Kajabi account."

02

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

03

"What courses are currently active in my account?"

Troubleshooting Kajabi MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Kajabi + LlamaIndex FAQ

Common questions about integrating Kajabi MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Kajabi tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Kajabi to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.