How to Use the Mailify (Sarbacane) MCP in AutoGen

Q: How do I load Mailify (Sarbacane) tools into AutoGen?

Use mcpservertools with StreamableHttpServerParams pointing to your endpoint URL. The McpToolAdapter automatically converts the MCP schemas for your AssistantAgent.

Give your AutoGen multi-agent teams direct access to Mailify (Sarbacane) for autonomous marketing operations.

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Connect Mailify (Sarbacane) MCP to AutoGen

Create your Vinkius account to connect Mailify (Sarbacane) 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 Mailify (Sarbacane) with AutoGen

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Perplexity

Multi-Agent Mailify (Sarbacane) Workflows

Marketing requires checks and balances. You can assign the `add_contact_to_book` and `update_book_contact` tools to a dedicated Data Entry Agent inside your AutoGen setup. Before that agent executes a write, a separate Compliance Agent reviews the proposed subscriber data. They debate the formatting, reach a consensus, and only then does the system fire the API call to update the list.

Let Agents Debate Campaign Metrics

Raw numbers rarely tell the whole story. By giving an Analytics Agent access to `get_campaign_performance` and `get_campaign_details`, it can pull live open rates and present them to the team. A Strategy Agent then challenges those findings. If the click rate looks low, it might instruct the Analytics Agent to run `list_email_campaigns` to find historical comparisons, forcing a data-driven conclusion before alerting the user.

Autonomous Cleanup via MCP Server

Keeping your lists healthy is a constant chore. You can build an AutoGen routine where an agent periodically checks `list_address_books` and `get_address_book_details` to monitor list sizes. When it identifies stale segments, it negotiates with a Manager Agent for approval. Once granted, it executes `delete_book_contact` to remove inactive users, keeping your deliverability high without manual intervention.

Setup guide

Set up Mailify (Sarbacane) 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 Mailify (Sarbacane) 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="Mailify (Sarbacane)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Mailify (Sarbacane) 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 Mailify (Sarbacane). 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 Mailify (Sarbacane) MCP in AutoGen

Use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your endpoint URL. The `McpToolAdapter` automatically converts the MCP schemas for your AssistantAgent.

Yes. You pass the tool list to any specific AssistantAgent constructor. Usually, you restrict write access to one agent while letting others read campaign data.

They do. The MCP protocol provides strict schemas for tools like `list_book_contacts`, so the agent knows exactly which parameters are required before making the call.

The error returns to the chat. The agent reads the failure message from `get_campaign_performance` and can adjust its parameters or ask another agent for help.

Your campaign data and subscriber emails never touch our disks. The MCP server operates as a stateless bridge between your AutoGen environment and the Mailify API.

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