How to Use the Mailingwork MCP in AutoGen

Q: How do I register Mailingwork MCP tools with AutoGen agents?

Install autogen-extmcp and use mcpservertools to fetch the tool definitions from your Vinkius URL. Pass the resulting tool list directly into your AssistantAgent constructor.

Q: How do AutoGen agents handle Mailingwork subscriber lookups?

Your agents can use getsubscriber to pull profile details and discuss how to categorize the user. They then use updatesubscriber to apply the decided tags based on their conversation.

Let your AutoGen agent teams debate, validate, and execute email campaigns with full consensus.

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Connect Mailingwork MCP to AutoGen

Create your Vinkius account to connect Mailingwork 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 Mailingwork with AutoGen

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Debated campaign execution with AutoGen agents

The `list_mailings` tool allows your copywriter agent and compliance agent to review past campaigns before launching new ones. One agent drafts the content based on historical performance, while the other checks it for compliance rules. Once they reach consensus, the execution agent calls `send_transactional_email` to deliver the verified message. This prevents rogue automated emails from reaching your customers without multi-agent sign-off.

Multi-agent subscriber management via AutoGen MCP Server

The `create_subscriber` tool is managed by a dedicated onboarding agent that coordinates with a validation agent. When a new user signs up, the validation agent checks the email format before allowing the onboarding agent to write the record. If the email looks suspicious, the agents debate whether to apply a restricted tag using `update_subscriber`. This collaborative triage keeps your list clean without requiring manual human review.

Coordinate complex automations with agent teams

The `trigger_automation` tool acts as the final trigger in your multi-agent negotiation workflows. After your analysis agents agree that a user segment is ready for a reactivation campaign, they execute the workflow. The agents use `list_lists` to verify the target directory before firing the trigger. This structured verification ensures that automations only run when all agent conditions are fully met.

Setup guide

Set up Mailingwork 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 Mailingwork 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="Mailingwork_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Mailingwork_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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 Mailingwork. 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 Mailingwork MCP in AutoGen

Install autogen-ext[mcp] and use mcp_server_tools to fetch the tool definitions from your Vinkius URL. Pass the resulting tool list directly into your AssistantAgent constructor.

Yes, you can set up a system where a copywriter agent drafts the email and a critic agent reviews it. Only when both agree does the execution agent call send_transactional_email.

Your agents can use get_subscriber to pull profile details and discuss how to categorize the user. They then use update_subscriber to apply the decided tags based on their conversation.

The Vinkius MCP platform manages the connection over secure HTTP, and the AutoGen adapter translates this into the schema your agents expect, eliminating local transport configuration.

The subscriber emails and tag metadata processed during agent debates are isolated within your local runtime. Vinkius operates a zero-trust gateway that routes the API calls without caching the sensitive payloads.

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