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How to Use the Airmeet MCP in AutoGen

Let AutoGen agents debate and coordinate Airmeet event schedules, speaker sessions, and attendee registrations.

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AutoGen

Connect Airmeet MCP to AutoGen

Create your Vinkius account to connect Airmeet 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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Coordinate Airmeet planning with AutoGen agents

The `create_event` and `create_session` tools build out the Airmeet webinar structure once your AutoGen agents reach a consensus. One agent drafts the schedule while another reviews it for conflicts. This collaborative AutoGen approach ensures that session times don't overlap and that the Airmeet event status is updated correctly using `update_event_status` only after all checks pass.

Audit attendee registration via AutoGen MCP Server

The `add_attendee` tool registers guests to your Airmeet once both AutoGen agents approve the profile. When a new registration request comes in, a security agent and a sales agent debate whether to accept. By routing this through the MCP Server, you prevent spam sign-ups. The AutoGen agents handle the vetting process entirely through their internal conversation before hitting the Airmeet API.

Analyze attendee questions through agent debate

The `list_questions` tool pulls the active Airmeet Q&A queue so your AutoGen agents can debate them. A moderator agent and an expert agent then discuss which questions are priority and how to answer them. They can also pull `list_poll_responses` to see if the Airmeet audience is engaged. This helps the AutoGen agents decide whether to pivot the discussion or push specific topics.

Setup guide

Set up Airmeet MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Airmeet 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="Airmeet_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about Airmeet MCP in AutoGen

One AutoGen agent proposes the event details and calls `create_event`. A second agent reviews the output and uses `create_session` to add the individual tracks, ensuring the schedule is fully coordinated before going live on Airmeet.
Yes, your AutoGen agents can call `list_questions` to fetch the queue. A moderator agent then filters out duplicate or irrelevant queries before presenting the final list to your Airmeet speakers.
The AutoGen agents use `add_attendee` to register users on Airmeet. You can set up a vetting agent that checks the email domain against a blocklist before the registration agent calls the tool.
Yes, they can debate whether an Airmeet webinar is ready to start. Once they agree, one of the AutoGen agents calls `update_event_status` to open the event to the public.
Vinkius executes the server inside a secure V8 isolate sandbox, keeping your Airmeet attendee list and poll responses completely private. The data fetched by your AutoGen agents is processed locally in your execution context and never saved on our servers.

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