How to Use the Huddle01 (Web3 Video API) MCP in Google ADK

Q: How do I integrate the Huddle01 (Web3 Video API) MCP Server with the Google ADK?

Run pip install google-adk and configure McpToolset with your endpoint URL. Pass that toolset directly to your LlmAgent initialization.

Q: Can the Google ADK filter which Huddle01 (Web3 Video API) tools the agent sees?

Yes. You can apply the toolnames filter when setting up the toolset. This restricts the agent to specific functions like getroomsessions while hiding administrative actions.

Q: Does the Huddle01 (Web3 Video API) work with Vertex AI pipelines via Google ADK?

The agent executes tools like getrooms and feeds the output directly into Vertex AI workflows. Gemini processes the JSON responses within its extended context window.

Q: How do I track active participants during a live event?

The agent calls getlivesessionparticipants to pull the current roster. It can then format that data and stream it into your Google Cloud databases.

Connect Huddle01 Web3 video data to BigQuery pipelines using the Google ADK.

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Connect Huddle01 (Web3 Video API) MCP to Google ADK

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Setup Huddle01 (Web3 Video API) with Google ADK

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Manage Web3 video infrastructure

The `create_room` tool provisions Huddle01 meeting rooms directly from your Vertex AI workflows, requiring an explicit lock status. Your Gemini agent can generate these spaces dynamically based on triggers from your Google Cloud infrastructure. Once provisioned, the agent pulls metadata using `get_room_metadata` and feeds it into the model's massive context window. You can restrict the agent to only these specific MCP operations using the `tool_names` filter during setup.

Ingest live session data into BigQuery

Your agent uses `get_live_sessions` and `get_live_session_participants` to monitor active Web3 video calls. It extracts the current participant roster. The script then writes that telemetry straight into BigQuery for enterprise analytics. Because Gemini handles millions of tokens, you can feed the output of `get_participant_list` for hundreds of historical sessions simultaneously. The model cross-references this raw attendance data against your existing enterprise datasets.

Retrieve recordings via Google ADK MCP Server

The `get_recordings` tool pulls the storage locations of completed meeting files, allowing you to filter by specific session IDs. Your Gemini agent grabs these references and initiates transcription jobs across your Google Cloud pipeline. You can also monitor your overall API consumption using `get_metrics`. The agent tracks your usage trends over time, correlating your video storage costs with your BigQuery analytics.

Setup guide

Set up Huddle01 (Web3 Video API) 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 Huddle01 (Web3 Video API) 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="Huddle01 (Web3 Video API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Huddle01 (Web3 Video API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Huddle01 (Web3 Video API) MCP in Google ADK

Run `pip install google-adk` and configure `McpToolset` with your endpoint URL. Pass that toolset directly to your `LlmAgent` initialization.

Yes. You can apply the `tool_names` filter when setting up the toolset. This restricts the agent to specific functions like `get_room_sessions` while hiding administrative actions.

The agent executes tools like `get_rooms` and feeds the output directly into Vertex AI workflows. Gemini processes the JSON responses within its extended context window.

The agent calls `get_live_session_participants` to pull the current roster. It can then format that data and stream it into your Google Cloud databases.

This connection retrieves wallet addresses, meeting IDs, and live session counts. Your Gemini agent processes this telemetry entirely within your Google Cloud boundary, ensuring enterprise data residency rules apply to all video metadata.

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