How to Use the Demio MCP in AutoGen

Q: How do I load Demio MCP Server tools into an AutoGen assistant?

Install autogen-extmcp. Call mcpservertools with your Vinkius endpoint. Pass the resulting list directly into the AssistantAgent constructor.

Q: What happens if an AutoGen agent fails to find a Demio webinar?

The agent receives the empty result from searchwebinarsbyname. It will typically ask the user for clarification or try an alternative search term based on its system prompt.

Give your AutoGen multi-agent squads the ability to manage Demio events and debate webinar strategies.

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Create your Vinkius account to connect Demio 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 Demio with AutoGen

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Debate schedules via the Demio MCP Server

AutoGen agents use this MCP Server to coordinate event logistics through conversation. A scheduling agent calls `list_upcoming_webinars` to propose dates, while a marketing agent reviews the timeline and pushes back if the gap is too short. They negotiate until they reach consensus. Once agreed, the execution agent can immediately pull the exact configuration using `get_webinar_details` to verify the setup.

Cross-check attendees with competing agents

Managing high-value presentations requires verification. You assign one agent to pull signups using `list_webinar_registrants`, while a security agent cross-references those domains against a blocked list. If the security agent flags a competitor, it halts the process. Otherwise, the primary agent proceeds to approve the list and uses `get_session_details` to confirm room capacity.

Analyze reports through agent consensus

Post-webinar analysis works best when different perspectives clash. A data agent fetches metrics via `get_webinar_report` and presents the raw attendance drop-off rates to the group. A strategy agent argues that the content was too long, while a technical agent uses `get_account_metadata` to check if room limits caused connection bounces. The final summary reflects their combined findings.

Setup guide

Set up Demio 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 Demio 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="Demio_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Common questions about Demio MCP in AutoGen

Install autogen-ext[mcp]. Call mcp_server_tools with your Vinkius endpoint. Pass the resulting list directly into the AssistantAgent constructor.

Yes. You initialize the client once and distribute the returned tools to whichever specific agents need access to webinar data.

The McpToolAdapter handles schema conversion automatically. Your agent reads the required parameters for register_user_for_webinar and formats the JSON correctly.

The agent receives the empty result from search_webinars_by_name. It will typically ask the user for clarification or try an alternative search term based on its system prompt.

Vinkius processes attendee names and session metrics inside an ephemeral V8 Isolate Sandbox. Authentication happens outside the agent environment. We drop the container immediately after your agents pull the event data.

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