How to Use the Kajabi MCP in CrewAI

Q: Does CrewAI support Kajabi site switching?

The server accepts a siteid parameter. Your agents pass this ID dynamically to target the specific site they need to work on.

Deploy autonomous Kajabi agents using CrewAI for hands-off management of your creator business.

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Connect Kajabi MCP to CrewAI

Create your Vinkius account to connect Kajabi to CrewAI 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 CrewAI

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Perplexity

Autonomous customer segmentation with CrewAI

Assign a 'Moderator' agent to watch for new signups and use `add_tag_to_contact` to categorize them. The agent works independently based on your instructions. This lets you scale your marketing without extra headcount. The crew keeps your lists clean and segmented while you focus on content.

Collaborative product and offer monitoring

Have one agent call `list_products` while another analyzes `list_offers`. They share memory to determine which products aren't getting enough traction. This gives you a full picture of your store health. The agents coordinate their findings and can report back when they spot a drop in sales.

Cross-site data synchronization

Use `list_sites` to allow your agents to manage multiple Kajabi environments simultaneously. They switch contexts automatically to pull the right customer data. This is essential for scaling across brands. You set the goal, and the agents handle the tool calls across every site in your account.

Setup guide

Set up Kajabi MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Kajabi tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Kajabi Analyst",
    goal="Access and analyze Kajabi data via MCP.",
    backstory="Expert analyst with direct Kajabi access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Kajabi transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Kajabi Analyst",
        goal="Access and analyze Kajabi data via MCP.",
        backstory="Expert analyst with direct Kajabi access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Kajabi transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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.

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Common questions about Kajabi MCP in CrewAI

They use shared memory. When one agent fetches details with `get_contact_details`, the others can access that info for their own tasks.

Yes. Use the tool filter in your MCP configuration to decide which agents can use sensitive tools like `remove_tag_from_contact`.

The server accepts a site_id parameter. Your agents pass this ID dynamically to target the specific site they need to work on.

Set up a monitor agent. It reviews the logs from every tool call and alerts you if an operation fails or returns unexpected data.

We use an ephemeral sandbox. Your customer email addresses only exist in the agent session and are cleared immediately after the task finishes.

Use it with your favorite AI tools

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

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