How to Use the Mailsoftly MCP in AutoGen

Q: How do I configure Mailsoftly for AutoGen?

Install autogen-extmcp. Use mcpservertools with StreamableHttpServerParams to fetch the tools, then pass them to your AssistantAgent.

Q: Can AutoGen agents trigger Mailsoftly campaigns autonomously?

Yes. If given permission, they can call sendcampaigntoall after concluding their deliberation phase.

Let AutoGen agents debate and execute Mailsoftly marketing campaigns.

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Connect Mailsoftly MCP to AutoGen

Create your Vinkius account to connect Mailsoftly 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 Mailsoftly with AutoGen

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Perplexity

Debate Campaign Strategy

Pulling active marketing data relies on `list_marketing_campaigns` and `get_campaign_details`. Your AutoGen agents review this information before proposing new email blasts. A strategy agent suggests a target, while a risk agent pushes back on frequency. They negotiate based on the raw data until reaching a consensus on the next send.

Manage Segments via MCP Server

Modifying lists through the MCP Server uses `create_base_contact` and `add_contact_to_list`. The system updates your database only after the agents agree on the segmentation logic. One agent handles the raw database imports. Another verifies that the list assignments actually match your subscriber collections.

Evaluate Send Performance

Analyzing results requires `list_sent_history` and `get_campaign_click_data`. The framework pulls these numbers to evaluate the success of the previous blast. If the click rate drops, the performance agent flags the issue immediately. The team then debates whether to adjust the next `send_campaign_to_all` trigger.

Setup guide

Set up Mailsoftly 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 Mailsoftly 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="Mailsoftly_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install autogen-ext[mcp]. Use mcp_server_tools with StreamableHttpServerParams to fetch the tools, then pass them to your AssistantAgent.

Yes. If given permission, they can call `send_campaign_to_all` after concluding their deliberation phase.

The McpToolAdapter converts schemas automatically. Agents read the tool outputs from the shared conversation history.

You define the exact tool list when initializing the server parameters, keeping destructive actions away from certain agents.

Raw emails, list IDs, and engagement metrics pass through an isolated sandbox. Authentication requires a single endpoint token, and Vinkius retains absolutely nothing after the agents conclude their session.

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