How to Use the Metorial MCP in Google ADK

Q: Can I check node health using Metorial in Google ADK?

Use metorialgetserverstatus to verify the logical health of your hosted nodes. It returns the exact state of your infrastructure so you know it's ready for requests.

Q: Will Metorial help me track usage inside Google ADK?

Yes, metorialgetusagemetrics aggregates your latency and cost data. It provides the hard numbers you need to keep your Google ADK agents within budget.

Q: How do I filter tools when using Metorial with Google ADK?

The ADK supports a toolnames filter parameter. Use this to restrict which Metorial tools are exposed to your specific agent instances.

Connect your Google ADK agents to serverless infrastructure for massive-scale reasoning.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Metorial MCP to Google ADK

Create your Vinkius account to connect Metorial 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.

GDPR Free for Subscribers

Setup Metorial with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage infrastructure from Google ADK

Provision and teardown serverless nodes using `metorial_deploy_server` within your Google Cloud workflows. You control the uptime of your MCP server directly from the ADK. This approach avoids manual configuration. You spin up what you need for a specific task and tear it down immediately after to preserve your budget.

Granular diagnostics for Google ADK

Inspect your execution boundaries using `metorial_list_traces` and `metorial_get_trace_details`. You get the full history of every tool call made by your agents. This is essential for debugging complex logic. You can trace back exactly where a request failed or where latency spiked within your cloud environment.

Execute remote logic with Google ADK

Use `metorial_invoke_server_tool` to trigger actions on your remote containers. It routes your commands to the right node, keeping your Google ADK agent logic clean. It works for both Stdio and HTTP transports. You get a direct line to your infrastructure regardless of how you configured your transport layer.

Setup guide

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

Get your connection token →

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Metorial now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

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 Metorial MCP in Google ADK

You instantiate an McpToolset using your server URL, then pass it to your LlmAgent. It connects your Google ADK environment to your serverless nodes in seconds.

Use `metorial_get_server_status` to verify the logical health of your hosted nodes. It returns the exact state of your infrastructure so you know it's ready for requests.

Yes, `metorial_get_usage_metrics` aggregates your latency and cost data. It provides the hard numbers you need to keep your Google ADK agents within budget.

The ADK supports a tool_names filter parameter. Use this to restrict which Metorial tools are exposed to your specific agent instances.

Your serverless infrastructure is provisioned inside an ephemeral V8 sandbox. Metorial requires a unique endpoint token for every request, ensuring only your Google ADK instance can access your traces.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript