How to Use the Volcengine RTC MCP in Google ADK

Q: Can Volcengine RTC handle multiple calls with Google ADK?

Yes, your agents can check for all active rooms using getactiverooms. This allows a single agent instance to manage and monitor many different simultaneous video conferences. This is key when integrating across large corporate data sets.

Q: Does Volcengine RTC provide quality metrics with Google ADK?

You can pull deep-dive metrics for any room using getqualitymetrics. This metric stream provides critical performance data that the agent's long context model processes. It helps ensure the call quality meets enterprise standards.

Manage real-time video calls using your Google ADK agent system.

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Connect Volcengine RTC MCP to Google ADK

Create your Vinkius account to connect Volcengine RTC 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 Volcengine RTC with Google ADK

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Administer Live Call Status

The `get_room_users` tool lets the agent see exactly who is in a Volcengine room. For full visibility, you can list all active rooms using `get_active_rooms`. This gives your enterprise process a clear picture of current activity. It helps determine which calls require monitoring or intervention.

Control Media and Recording Processes

Need to capture data from a meeting? The agent initiates recordings with `start_cloud_record` and stops them using `stop_cloud_record`. It also manages media streams by calling `mute_stream` or restoring audio/video via `unmute_stream`. This full control allows your long-context reasoning models to act on the call state.

Manage Call Media Transformation

If you need to process video streams, the agent starts transcoding with `start_transcode`. When that step is complete, it uses `stop_transcode` to halt the process. These tools work together to manage media lifecycle. This capability lets your agents act on complex multi-step tasks involving external data sources like BigQuery.

Setup guide

Set up Volcengine RTC 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 Volcengine RTC 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="Volcengine RTC_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Volcengine RTC tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Volcengine RTC MCP in Google ADK

The agent uses the MCP tools to automate call management. For example, it can detect a user who needs removal and execute `kick_user` automatically. This allows your enterprise workflows to act directly on live communication data.

The server exposes real-time room metadata, specifically the list of users in a room and active call metrics. The agent reads this information to inform its reasoning process. It's all about knowing who is there and how well the call quality is.

Yes, your agents can check for all active rooms using `get_active_rooms`. This allows a single agent instance to manage and monitor many different simultaneous video conferences. This is key when integrating across large corporate data sets.

You can pull deep-dive metrics for any room using `get_quality_metrics`. This metric stream provides critical performance data that the agent's long context model processes. It helps ensure the call quality meets enterprise standards.

The server touches real-time communication room state and user lists. When data passes through, your agent's security model ensures the integrity of that list. This allows you to act on the necessary metadata without accessing private call content.

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