How to Use the MailWizz MCP in AutoGen

Q: How do AutoGen agents collaborate using the MailWizz MCP Server?

You register the tools with an AssistantAgent using the MCP adapter. One agent can call getlistdetails to analyze a segment, while another uses that data to draft a targeted campaign.

Q: Is it possible to limit MailWizz write access for specific AutoGen agents?

Yes, you can assign read-only tools like listsubscribercollections to your analyst agents while reserving write tools for your dedicated execution agent via this MCP Server.

Let AutoGen agents debate and coordinate your MailWizz campaigns and list management tasks.

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Connect MailWizz MCP to AutoGen

Create your Vinkius account to connect MailWizz 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 MailWizz with AutoGen

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Multi-Agent Campaign Management in AutoGen

The `list_email_campaigns` MCP tool allows your marketing agent to pull active broadcasts while a separate compliance agent reviews them. They debate performance versus risk, ensuring your messaging aligns with corporate standards. If the compliance agent flags an issue, it instructs the executor agent to call `pause_email_campaign` immediately. This automated negotiation prevents brand damage before a bad email reaches your entire database.

Coordinated Subscriber Verification

The `list_list_subscribers` tool fetches active contacts for a designated segment. A data analyst agent parses the list, while a security agent checks for blacklisted domains or spam traps. Once they agree on which contacts are risky, they call `delete_list_subscriber` to prune them. This collaborative cleaning process keeps your bounce rates low without requiring human intervention.

Consensus-Driven List Building

The `add_subscriber_to_list` tool is executed only after your onboarding agent verifies user consent and your database agent confirms the record is unique. They pass structured data back and forth to ensure clean entry. If updates are needed, they invoke `update_list_subscriber` to modify the record. By requiring consensus, this setup prevents duplicate API calls and keeps your MailWizz lists highly organized.

Setup guide

Set up MailWizz 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 MailWizz 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="MailWizz_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent MailWizz 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="MailWizz_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent MailWizz 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 MailWizz. 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 MailWizz MCP in AutoGen

You register the tools with an `AssistantAgent` using the MCP adapter. One agent can call `get_list_details` to analyze a segment, while another uses that data to draft a targeted campaign.

Yes, if your monitoring agent detects high bounce rates via `get_campaign_details`, it can request the execution agent to call `pause_email_campaign` to halt the send.

The MCP adapter automatically translates the server's tool schemas into the format AutoGen expects. This allows your agents to understand parameter requirements for tools like `add_subscriber_to_list` out of the box.

Yes, you can assign read-only tools like `list_subscriber_collections` to your analyst agents while reserving write tools for your dedicated execution agent via this MCP Server.

Your API key and subscriber records are handled within a zero-trust, isolated MCP sandbox on Vinkius. We never store your credentials or log the email addresses passing through the server.

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