How to Use the zrok (Open-Source Tunnel) MCP in Google ADK

Q: What if I need to check account limits using zrok (Open-Source Tunnel) with the Google ADK?

The agent calls getaccount directly. This provides your current usage metrics and subscription details, letting your agent know its operational boundaries before proceeding.

Q: Can I use zrok (Open-Source Tunnel) to manage environments within the Google ADK?

Yes. The agent can list all available stages using listenvironments and then control which one is active with enableenvironment. This segmentation is vital for enterprise testing.

Q: Does the Google ADK handle complex tunnel creation using zrok (Open-Source Tunnel)?

It does. You can use createshare to build a new public or private resource share, letting your agent programmatically set up network connectivity for its data tasks.

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Setup zrok (Open-Source Tunnel) with Google ADK

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Tunneling for BigQuery Access

The agent uses `zrok` to create tunnels, letting you expose internal resources needed for data queries. You can get specific details on a tunnel using `get_share`, which is crucial before building complex BigQuery reports. This keeps your enterprise agents connected.

Managing Data Source Environments

For large-scale projects, you need to manage deployment stages. The agent calls `list_environments` and can activate or disable them with `enable_environment`. It ensures that the data pipeline only runs against the correct, isolated environment.

Monitoring MCP Server Connectivity

The Google ADK lets you check your usage limits by calling `get_account`. You can also list all active tunnels using `list_shares` or verify a specific tunnel's status with `get_share`. This visibility is key when building massive agent workflows.

Setup guide

Set up zrok (Open-Source Tunnel) 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 zrok (Open-Source Tunnel) 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="zrok (Open-Source Tunnel)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to zrok (Open-Source Tunnel) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about zrok (Open-Source Tunnel) MCP in Google ADK

The framework treats the MCP Server as a managed toolset. You pass it into your LlmAgent, and Gemini models can reason over its functions, allowing them to programmatically manage shares or environments.

The agent calls `get_account` directly. This provides your current usage metrics and subscription details, letting your agent know its operational boundaries before proceeding.

Yes. The agent can list all available stages using `list_environments` and then control which one is active with `enable_environment`. This segmentation is vital for enterprise testing.

This server handles network configuration and account metadata. It manages details like active shares, environment names, and your overall usage limits.

It does. You can use `create_share` to build a new public or private resource share, letting your agent programmatically set up network connectivity for its data tasks.

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