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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up ngrok MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 ngrok tools in your ADK agent.
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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Built-in savings
60%
lower AI costs
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Common questions about ngrok MCP in Google ADK
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