How to Use the Instatus (Status Pages API) MCP in Google ADK

Q: Will the Instatus (Status Pages API) work with my Google ADK agent setup?

You configure the toolset via McpToolset and pass it to your LlmAgent. It integrates as a native tool source for your Google Cloud infrastructure.

Q: Can I filter the Instatus (Status Pages API) tools exposed to my Google ADK agent?

Use the toolnames filter during initialization to restrict access. This ensures your agent only uses specific tools like updatecomponent for its assigned tasks.

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Connect Instatus (Status Pages API) MCP to Google ADK

Create your Vinkius account to connect Instatus (Status Pages API) 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 Instatus (Status Pages API) with Google ADK

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Google ADK status page integration

Sync your infrastructure health with `list_components` to see exactly what's failing. Your agent uses this context to make informed decisions about incident severity. Updates are pushed via `update_component` to reflect your current system state. It keeps your status page honest without manual overhead.

Automated incident lifecycle

Your agent creates incidents using `create_incident` as soon as your monitoring triggers an alert. It keeps the timeline moving by calling `update_incident` as new data arrives. This workflow ensures your public status page reflects reality. You stop worrying about stale information during a high-pressure outage.

Direct metric data injection

Push telemetry directly from your environment using `add_metric_datapoints_bulk`. Your agent processes large batches of health data and updates the status page instantly. Using `add_metric` allows you to track specific system behaviors over time. It gives your users visibility into the metrics that actually matter.

Setup guide

Set up Instatus (Status Pages API) 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 Instatus (Status Pages API) 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="Instatus (Status Pages API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Instatus (Status Pages API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Instatus (Status Pages API) MCP in Google ADK

You configure the toolset via `McpToolset` and pass it to your `LlmAgent`. It integrates as a native tool source for your Google Cloud infrastructure.

Your agent treats the API as a standard tool library. You can call `create_incident` or `list_incidents` within your agent's reasoning loop to manage active issues.

Use the tool_names filter during initialization to restrict access. This ensures your agent only uses specific tools like `update_component` for its assigned tasks.

The server provides precise tool outputs that fit perfectly into your agent's context. It helps the agent reason about incident timelines and component states.

The server operates in a secure sandbox and only processes the specific incident and component records you request. Your infrastructure data remains isolated from the public API.

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