How to Use the Kit (ConvertKit) MCP in AutoGen

Q: How do I register Kit (ConvertKit) tools in an AutoGen setup?

Install autogen-extmcp. Call mcpservertools with a StreamableHttpServerParams object, then pass the resulting list to your AssistantAgent constructor.

Give your AutoGen agents the tools to debate and execute Kit (ConvertKit) marketing workflows.

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Connect Kit (ConvertKit) MCP to AutoGen

Create your Vinkius account to connect Kit (ConvertKit) 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.

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Setup Kit (ConvertKit) with AutoGen

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Bring the Kit MCP Server into agent debates

The Kit (ConvertKit) MCP Server allows your AutoGen agents to pull live marketing data during their conversations. A strategy agent can propose a campaign, while an analytics agent calls `list_all_tags` to verify the segments actually exist. They debate the implementation based on real constraints. If the strategy agent wants to target a specific funnel, the analytics agent runs `list_email_sequences` and pushes back if the sequence is empty.

Automate subscriber updates safely

This server includes `add_subscriber_to_form` and `update_subscriber` for executing list changes. You set up a system where one agent drafts the update payload and a second agent reviews it before execution. The reviewer agent checks the logic. It calls `search_subscriber_by_id` to confirm the user's current state. If the proposed update conflicts with their existing tags, it rejects the action and forces the first agent to revise.

Track growth through consensus

Your agents use `get_account_growth_summary` and `list_subscribers` to audit account performance. A reporting agent pulls the macro numbers, while an audit agent samples individual users with `get_subscriber_details`. They compare notes. If the macro summary shows a spike but the audit agent finds those users lack proper tags via `apply_tag_to_subscriber`, the group flags the discrepancy for your review.

Setup guide

Set up Kit (ConvertKit) 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes Kit (ConvertKit) tools and returns structured results.

agent.py

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="Kit (ConvertKit)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Kit (ConvertKit) data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="Kit (ConvertKit)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Kit (ConvertKit) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Kit (ConvertKit) MCP in AutoGen

Install `autogen-ext[mcp]`. Call `mcp_server_tools` with a `StreamableHttpServerParams` object, then pass the resulting list to your `AssistantAgent` constructor.

Yes. You provide the tool list to any agent that needs it. The `McpToolAdapter` automatically converts the API schemas so multiple agents can call the endpoints during a chat.

The error feeds right back into the conversation. The agent reads the failure message from the API, discusses the mistake with the group, and tries a different parameter.

You build that into your AutoGen workflow. Configure a proxy agent that requires human input before allowing the execution of write operations.

The server handles sensitive custom fields and opt-in histories. Vinkius manages the auth securely, and the MCP connection runs ephemerally. Your credentials never leak into the AutoGen chat logs.

Use it with your favorite AI tools

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