How to Use the ZEGO / 即构科技 MCP in Google ADK

Q: Can I use ZEGO / 即构科技 within Google ADK for managing live streams?

Yes. The agent can force stop media feeds using stopmediastream. This is essential if your workflow requires shutting down a stream after an event is completed.

Q: Can the MCP Server list all available rooms with ZEGO / 即构科技 when paired with Google ADK?

You can call listrooms to get all active room identifiers. This data structure lets your agent determine which areas need monitoring or action.

Act on real-time communications data using your Google ADK agent.

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Connect ZEGO / 即构科技 MCP to Google ADK

Create your Vinkius account to connect ZEGO / 即构科技 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 ZEGO / 即构科技 with Google ADK

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Monitor Room Activity

Access all room details through the MCP Server. Run `list_rooms` to get a full list of active spaces, and then use `get_room_users` or `get_room_streams` for specific data points. This capability lets your agent build deep context about the communication network before making any decisions.

Control User Presence

The Google ADK allows complex, multi-step actions. For instance, you can check user status with `check_user_status` and then execute moderation by calling `kick_room_user`. You'll also get to manage streams using `stop_media_stream`. It’s designed for enterprise use cases where reliable control over users and media is non-negotiable.

Audit Service Usage

Gather comprehensive service health data by calling `get_usage_stats`. You can also combine room listing (`list_rooms`) with user count checks (`get_online_count`). Your agent uses these tools to build an audit trail. The resulting structured output integrates perfectly into BigQuery for long-term analysis.

Setup guide

Set up ZEGO / 即构科技 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 ZEGO / 即构科技 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="ZEGO / 即构科技_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ZEGO / 即构科技 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 ZEGO / 即构科技. 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 ZEGO / 即构科技 MCP in Google ADK

The MCP Server exposes all tools as callable functions that your agent can reason over. Your agent uses these tools to execute complex, multi-step workflows against the real-time communication platform.

This MCP Server primarily deals with user connectivity and group membership. It handles `user_status`, `room_users`, and service usage statistics provided by the `get_usage_stats` tool.

Yes. The agent can force stop media feeds using `stop_media_stream`. This is essential if your workflow requires shutting down a stream after an event is completed.

You can call `list_rooms` to get all active room identifiers. This data structure lets your agent determine which areas need monitoring or action.

The integration supports long-context reasoning. Your agent can retrieve data using `get_usage_stats` and then pass that structured data to BigQuery for deep analysis.

Use it with your favorite AI tools

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