How to Use the Kit (ConvertKit) MCP in CrewAI

Q: How do I add Kit (ConvertKit) tools to my CrewAI agents?

Pass the MCP URL directly into the mcps parameter of your Agent configuration. CrewAI handles the tool registration and makes them available to your crew.

Q: Is it possible to filter Kit (ConvertKit) tools for specific agents?

You can use the toolfilter option in your CrewAI setup to restrict which agents have access to specific operations, like preventing a researcher from updating records.

Deploy a specialized CrewAI crew to manage your Kit (ConvertKit) audience automatically.

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Connect Kit (ConvertKit) MCP to CrewAI

Create your Vinkius account to connect Kit (ConvertKit) 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 Kit (ConvertKit) with CrewAI

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Agent-led subscriber management in CrewAI

Assign a dedicated agent to monitor your list using `list_subscribers`. Your crew can identify inactive users and move them to specific sequences. This approach removes the need for manual list cleaning. The agent takes care of the heavy lifting, keeping your email hygiene high without you lifting a finger.

Collaborative tagging in CrewAI

Let your research agent find insights and your action agent apply tags via `apply_tag_to_subscriber`. Shared memory allows your crew to act on data in context. This turns your marketing operations into a team effort. One agent reads the details, the other ensures the subscriber is tagged correctly for the next campaign.

Automated campaign monitoring in CrewAI

Set a monitor agent to watch your `get_account_growth_summary` data. It can alert other agents when growth targets are met or missed. It changes how you handle reporting. Instead of checking a dashboard, your agents are constantly watching the numbers and reacting to changes in real-time.

Setup guide

Set up Kit (ConvertKit) 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 Kit (ConvertKit) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Kit (ConvertKit) 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="Kit (ConvertKit) Analyst",
        goal="Access and analyze Kit (ConvertKit) data via MCP.",
        backstory="Expert analyst with direct Kit (ConvertKit) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Kit (ConvertKit) 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 Kit. 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 Kit (ConvertKit) MCP in CrewAI

Pass the MCP URL directly into the `mcps` parameter of your Agent configuration. CrewAI handles the tool registration and makes them available to your crew.

Yes, CrewAI agents use shared memory to pass insights between them. One agent can query subscriber details, and another can act on that data.

Vinkius uses an ephemeral sandbox for all MCP connections. Subscriber names and email addresses are treated as transient data during the execution of your crew's tasks.

You can use the `tool_filter` option in your CrewAI setup to restrict which agents have access to specific operations, like preventing a researcher from updating records.

You can spin up multiple crews to handle different segments of your list. The MCP server manages the concurrent connections through the Vinkius infrastructure.

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