How to Use the Airmeet MCP in Google ADK

Q: How do I configure Google ADK to use the Airmeet MCP Server?

Install google-adk and set up the McpToolset class. Provide the StreamableHttpServerParameters with your assigned endpoint URL. Assign that toolset to your LlmAgent initialization.

Q: Can I filter which Airmeet tools my Gemini agent sees?

You pass a toolnames list to the toolset configuration. This restricts the agent to specific actions. For example, you might expose listevents but block updateeventstatus to prevent accidental cancellations.

Q: How do I connect Airmeet attendee metrics to BigQuery using Google ADK?

Your Gemini agent retrieves the raw numbers via geteventattendance. Since the framework lives inside Google Cloud, you write a simple function to insert that JSON directly into your tables. No middleware required.

Manage virtual events and analyze attendee data with Google ADK and Airmeet.

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Connect Airmeet MCP to Google ADK

Create your Vinkius account to connect Airmeet to Google ADK 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 Airmeet with Google ADK

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Sync Airmeet MCP Server data to BigQuery

Enterprise reporting requires raw data. Your Gemini agent grabs the Vinkius URL, mounts it via the toolset, and starts pulling. It runs `get_event_attendance` and `list_participants` to extract the complete guest list from the platform. Because you operate on Google Cloud, the agent pipes this output straight into BigQuery. You skip the manual CSV exports entirely. Gemini's massive context window digests thousands of participant records in a single prompt.

Build schedules with Gemini agents

Setting up multi-track conferences takes hours of clicking. You hand the agent a text file with your agenda. It parses the document and fires `create_event` to establish the base conference container. From there, it iterates through the schedule. It calls `create_session` for every keynote and breakout room. If a speaker cancels, the agent adjusts the timeline and pushes the fix using `update_event_status`.

Digest polls and Q&A natively

Finding out what your audience actually cares about requires reading the chat logs. The agent executes `list_questions` and `list_poll_responses` to pull the text from the live sessions. This is where the 1M+ token limit shines. You feed all those questions into Vertex AI. The model identifies recurring themes and generates a summary of the most pressing topics from your latest broadcast.

Setup guide

Set up Airmeet MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Airmeet tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Airmeet_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Airmeet tools via MCP.",
    tools=mcp_tools,
)

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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 Airmeet. 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 Airmeet MCP in Google ADK

Install `google-adk` and set up the `McpToolset` class. Provide the `StreamableHttpServerParameters` with your assigned endpoint URL. Assign that toolset to your `LlmAgent` initialization.

You pass a `tool_names` list to the toolset configuration. This restricts the agent to specific actions. For example, you might expose `list_events` but block `update_event_status` to prevent accidental cancellations.

The framework handles both Stdio and HTTP transports natively. Connecting to the remote Vinkius endpoint uses the HTTP layer. This ensures reliable data transfer when pulling large payloads like `get_session_recordings`.

Your Gemini agent retrieves the raw numbers via `get_event_attendance`. Since the framework lives inside Google Cloud, you write a simple function to insert that JSON directly into your tables. No middleware required.

The V8 Isolate Sandbox destroys itself after execution. When the agent requests video links via `get_session_recordings`, those URLs pass through an ephemeral memory space. Vinkius stores zero video files or transcriptions.

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