How to Use the Kajabi MCP in AutoGen
Deploy AutoGen agent teams to debate, audit, and update your Kajabi courses and customer tags automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kajabi MCP to AutoGen
Create your Vinkius account to connect Kajabi to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate Kajabi contact updates across AutoGen agents
The `add_tag_to_contact` tool allows your AutoGen marketing agent to apply tags after a consensus is reached with your billing agent. First, one agent calls `get_contact_details` to review a user's history, while another checks `list_purchases` to verify payment. Only when both agents agree does the marketing agent execute the tag change. This multi-agent debate prevents accidental tagging and bad automation triggers. The conversation logic ensures that no single agent can modify your contact database without verification.
Audit Kajabi product offerings with this MCP Server
The `list_products` tool supplies your AutoGen product analyst agent with live catalog data. The analyst agent compares these products against offers retrieved via `list_offers`, while a compliance agent checks the details using `get_offer_details`. They debate pricing consistency and flag discrepancies directly in your terminal. Because the server exposes all 16 tools, your agents have full access to audit your entire Kajabi backend. They negotiate the best way to resolve mismatching prices or outdated descriptions.
Manage multi-site Kajabi orders in AutoGen workflows
The `list_sites` tool lets your coordinator agent identify all active sites before delegating order checks to sub-agents. Each sub-agent queries `list_orders` for its assigned site, compiling transaction logs without crossing data boundaries. This structured delegation keeps your multi-site operations organized and error-free. AutoGen's `McpToolAdapter` handles the conversion of these tool schemas automatically. Your agents call `list_orders` and `list_customers` using standard Python function signatures.
Set up Kajabi MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Kajabi tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Kajabi_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Kajabi data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Kajabi_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Kajabi data")
print(result.messages[-1].content) 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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Common questions about Kajabi MCP in AutoGen
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