How to Use the Mailsac MCP in AutoGen

Q: How do I register the Mailsac MCP Server with AutoGen?

Use mcpservertools with your Vinkius Streamable HTTP URL to fetch the tool definitions. You can then pass this tools list directly into your AssistantAgent constructor.

Q: Can multiple AutoGen agents use Mailsac tools simultaneously?

Yes, the agents share the toolset. One agent can call listinboxmessages while another uses gethtmlmessagebody to parse the content of a specific message.

Q: Do I need a paid account to search across all addresses?

Yes, calling searchaccountmessages requires a paid tier. For free tiers, your agents should query specific inboxes directly using listinboxmessages.

Let your AutoGen agents debate and coordinate email verification workflows using temporary Mailsac inboxes.

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Connect Mailsac MCP to AutoGen

Create your Vinkius account to connect Mailsac 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 Mailsac with AutoGen

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Coordinate Multi-Agent Email Testing in AutoGen using MCP Server

Testing complex flows like password resets requires multiple perspectives. One AutoGen agent can trigger the reset request while another monitors the inbox using `list_inbox_messages`. They coordinate the handoff. Once the email arrives, the monitoring agent calls `get_plain_text_body` to extract the reset link and passes it back to the first agent to complete the loop.

Debate and Verify Email Deliverability

Did the email fail to send, or is it just delayed? Your agents can debate this by checking the inbox status with `list_reserved_addresses` and searching across the account via `search_account_messages`. The QA agent might argue the test failed, while the infrastructure agent checks if the custom domain listed in `list_custom_domains` has routing issues. They negotiate the final test status before reporting.

Automate Address Lifecycle in AutoGen

Leaving active test addresses open invites spam and wastes resources. This MCP Server allows your coordinator agent to manage the lifecycle of your test endpoints. The agent can call `reserve_new_address` to start a run and immediately execute `release_reserved_address` once the consensus is reached. This keeps your test runs clean and isolated.

Setup guide

Set up Mailsac 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 Mailsac 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="Mailsac_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use `mcp_server_tools` with your Vinkius Streamable HTTP URL to fetch the tool definitions. You can then pass this tools list directly into your `AssistantAgent` constructor.

Yes, the agents share the toolset. One agent can call `list_inbox_messages` while another uses `get_html_message_body` to parse the content of a specific message.

Your agents can negotiate a retry strategy. They can loop and call `list_inbox_messages` at intervals before deciding whether to fail the test run.

Yes, calling `search_account_messages` requires a paid tier. For free tiers, your agents should query specific inboxes directly using `list_inbox_messages`.

The MCP server runs in a zero-trust, ephemeral sandbox on Vinkius. Your agents can run `delete_inbox_message` to purge sensitive emails from the inbox immediately after reading them.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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