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How to Use the ngrok MCP in Google ADK

Connect your Google ADK agents to your ingress infrastructure for automated tunnel monitoring and policy enforcement.

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Google ADK

Connect ngrok MCP to Google ADK

Create your Vinkius account to connect ngrok 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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Monitor tunnels with Google ADK

Use `list_endpoints` to give your agent a live view of your network exposure. It processes this data alongside your existing cloud infrastructure logs. This visibility helps you map local tunnel traffic to your broader Google Cloud footprint. Your agent identifies active ingress points without requiring manual intervention.

Inspect security policies automatically

Your agent runs `list_ip_policies` and `list_ip_restrictions` to validate your edge defense. It ensures your security posture remains consistent across all tunnels. By checking these policies, your agent confirms that only intended IP ranges have access. It alerts you if a policy drift occurs in your configuration.

Inventory management for domains and keys

The agent tracks `list_reserved_domains` and `list_api_keys` to manage your assets at scale. It acts as a central registry for all your tunnel-related resources. Stop hunting for forgotten domains or keys. Your agent keeps a running list of your active inventory, helping you maintain a tidy production environment.

Setup guide

Set up ngrok 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. 1

    Install Google ADK

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

  2. 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. 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. 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 ngrok 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="ngrok_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ngrok tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ngrok. 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.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ngrok MCP in Google ADK

Your agent uses `list_ip_policies` to audit your current ingress rules. It compares these against your security requirements to ensure nothing is left wide open.
Absolutely. The `list_reserved_domains` tool gives your agent a complete list of your domains. It tracks them as part of your overall infrastructure state.
You add it using the `McpToolset` class. This allows your agent to call any of the seven tools, including `list_https_edges`, within your existing workflow.
You invoke `list_api_keys` from your agent. It returns the current set of keys, allowing you to verify that only authorized entities have access to your tunnels.
The server uses standard API requests to fetch read-only configuration data. Your actual application traffic is never inspected, keeping your private data out of the agent's view.

Start using the ngrok MCP today

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Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for ngrok. Just plug in your AI agents and start using Vinkius.

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