How to Use the AfterLogic Aurora MCP in AutoGen

Q: What happens if an AutoGen agent tries to send an email without admin rights?

The sendemail tool only requires standard user authentication, not admin rights. However, if the agent tries to run listdomains without admin privileges, the server will return an error.

Let your AutoGen agents debate and coordinate to manage AfterLogic Aurora mailboxes and admin tasks.

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Connect AfterLogic Aurora MCP to AutoGen

Create your Vinkius account to connect AfterLogic Aurora 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 AfterLogic Aurora with AutoGen

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Administer mailboxes with the AutoGen MCP Server

The `check_account_exists` tool checks if an email address is provisioned on your AfterLogic Aurora server. In a multi-agent setup, a provisioning agent can use this tool to verify a user's status before another agent takes action. You also have `list_domains` to audit active custom domains. Your agents can debate whether a domain is authorized before allowing any outbound communications or account creations.

Multi-agent folder organization

The `list_folders` tool retrieves the internal email folder layout for the authenticated user. One agent can analyze this layout to find where specific archival folders are located. A separate coordinator agent can then use this folder path to direct other agents. This division of labor keeps your mailbox operations structured and prevents agents from writing to the wrong directories. The MCP coordinator agent handles the routing.

Collaborative email drafting and sending

The `list_messages` tool retrieves recent emails from a target folder. A reader agent can summarize these incoming messages and present them to a writer agent. Once the writer agent drafts a response and a reviewer agent approves it, the system uses `send_email` to send it out. This multi-agent review loop ensures no unapproved drafts are sent to clients.

Setup guide

Set up AfterLogic Aurora 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 AfterLogic Aurora 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="AfterLogic Aurora_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AfterLogic Aurora. 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 AfterLogic Aurora MCP in AutoGen

Use the helper from the extension package to load the tools from your Vinkius URL. This registers the MCP Server tools directly, and you can pass them to your AssistantAgent constructor.

Yes, the tools are stateless and can be shared across your entire agent group. One agent can check folders with `list_folders` while another reads messages with `list_messages`.

The McpToolAdapter in the AutoGen extension automatically translates the MCP tool schemas into the format expected by the LLM. You do not need to write any manual schema wrappers.

The `send_email` tool only requires standard user authentication, not admin rights. However, if the agent tries to run `list_domains` without admin privileges, the server will return an error.

All credentials and email data are handled securely via Vinkius using an ephemeral V8 Isolate sandbox. This zero-trust MCP environment protects your credentials, meaning your sensitive mail configurations are never persisted.

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