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How to Use the Flodesk MCP in AutoGen

Debate your email strategy in AutoGen with agents that manage Flodesk subscribers and workflows through collaborative consensus.

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AutoGen

Connect Flodesk MCP to AutoGen

Create your Vinkius account to connect Flodesk 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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Collaborative Flodesk subscriber management

Let your agents debate subscriber updates using `upsert_subscriber`. One agent validates the email format while another checks the custom fields before the write happens. This prevents bad data from hitting your list. Your agents reach a decision on the correct subscriber status before calling the tool.

Debate segment creation in AutoGen

Use `create_segment` within your agent group to decide on new list categories. Agents negotiate the segment criteria to ensure your list hygiene remains high. This process adds a layer of human-like review to your marketing setup. The agents verify the segment name and purpose before executing the command.

Negotiate workflows in AutoGen

Agents discuss which campaign to run using `add_subscriber_to_workflow`. They challenge each other on timing and content until they settle on the right sequence. This ensures your email workflows are intentional. Your agents confirm the subscriber is in the right state before triggering the sequence.

Setup guide

Set up Flodesk MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Flodesk 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="Flodesk_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about Flodesk MCP in AutoGen

You pass the MCP tools to your agent constructors. The agents then discuss which Flodesk function to call, such as `upsert_subscriber` or `list_workflows`, to complete the task.
They can. By using `list_subscribers` and `create_segment`, your agents analyze your current list and propose new segments based on the data they find.
They use the MCP adapter to send commands. When an agent decides to add a user to a workflow, it calls `add_subscriber_to_workflow` through the secure server connection.
All requests are authenticated and ephemeral. Your subscriber records are never stored by the agents, and the session expires as soon as the task finishes.
You provide the `add_subscriber_to_workflow` tool to your assistant agents. They negotiate the trigger timing and call the tool to initiate your email sequence.

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