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How to Use the EmailOctopus MCP in AutoGen

Enable multi-agent debate for EmailOctopus operations using AutoGen to ensure secure and accurate marketing workflows.

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AutoGen

Connect EmailOctopus MCP to AutoGen

Create your Vinkius account to connect EmailOctopus 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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Debate EmailOctopus actions in AutoGen

Set up a security agent and a marketing agent to discuss using `remove_contact_from_list`. This prevents accidental deletions while keeping your lists clean. The agents negotiate before the tool is executed. This ensures that every `add_contact_to_list` or `update_contact_profile` call matches your business rules before the API is triggered.

Consensus-driven campaign management

Have your performance agent and strategy agent argue over which campaign to trigger via `trigger_automation_for_contact`. They analyze the data from `get_campaign_summary_report` to reach a decision. This multi-agent process forces the system to justify its actions. It moves beyond simple execution into a deliberative workflow that prioritizes your objectives.

Automated EmailOctopus tool delegation

Assign specific tools like `create_email_list` to the agent best suited for that task within your AutoGen swarm. The adapter maps the schema so agents communicate clearly. Your agents handle the API interaction while you focus on the outcome. They share the workload and verify each other's work before finalizing any changes to your subscriber database.

Setup guide

Set up EmailOctopus 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 EmailOctopus 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="EmailOctopus_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about EmailOctopus MCP in AutoGen

Pass the MCP tools to your AssistantAgent constructor using the tool adapter. This allows your agents to call EmailOctopus functions as part of their conversation.
Yes, multiple agents can debate which EmailOctopus tool to call. This is useful for complex workflows like managing contact lists based on campaign performance.
Agents pass the results of tool calls back and forth in their chat history. One agent can retrieve data with `get_list_details` and another can act on it.
They continue the debate until they reach consensus or you intervene. This structure prevents premature execution of sensitive API commands.
The server restricts access to only the tools exposed to the agents. Every request is authenticated, and no contact data is shared outside your agent conversation.

Start using the EmailOctopus MCP today

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