How to Use the Cronitor (Cron Monitoring) MCP in Google ADK

Q: How can I connect the Cronitor (Cron Monitoring) MCP Server to Google ADK to analyze uptime?

Use the McpToolset with your Vinkius server URL. Your Gemini agent can then call listmonitors and getmetrics to gather the data. You can instruct it to format the output as a CSV for easy import into BigQuery.

Q: Can my Google ADK agent update a status page from Cronitor (Cron Monitoring) data?

Absolutely. Once your agent detects a failing monitor via listissues, you can have it automatically call createstatuspagecomponent and updatestatuspagecomponent to reflect the incident publicly. This closes the loop between detection and communication.

Q: What if I only want my agent to read data, not change it?

The McpToolset in the Google ADK has a toolnames filter. You can give it a list of read-only tools like listmonitors and getmetrics. The agent won't even know the write tools exist.

Connect Google ADK to Cronitor. Let your Gemini agent manage monitors and pull performance data into your Google Cloud workflow.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cronitor (Cron Monitoring) MCP to Google ADK

Create your Vinkius account to connect Cronitor (Cron Monitoring) 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 Cronitor (Cron Monitoring) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage Cronitor at Enterprise Scale

This isn't for one-off changes. Your Gemini agent can now manage your Cronitor environment in batches. Use `update_monitors` to create or modify dozens of monitors from a single instruction, perfect for syncing with a Terraform apply or a new service deployment. Your agent can also perform `bulk_issues` actions to close out resolved incidents after a fix is pushed. For organizing, it can `pause_group` to quiet an entire set of monitors during a migration. You give your agent commands that match the scale of your infrastructure.

Automate Your Public Status Page

Let your agent run your status page. When an incident is detected through Cronitor, your agent can `create_status_page_component` to add a new entry. It can then `update_status_page_component` as the situation evolves, keeping your users informed without any manual intervention. This works for the full lifecycle. Your agent can `create_status_page` from scratch or `delete_status_page` when a product is retired. It’s perfect for agents that already manage service lifecycles within your Google Cloud environment.

Feed Cronitor Data into Google Cloud

A Gemini agent's long context is perfect for analysis. Have it `list_monitors` and `get_metrics` for your entire account, then tell it to summarize the results. The agent can format this data for direct ingestion into a BigQuery table. It can also pull raw ping data or get historical trends with `get_aggregates`. This MCP Server turns your agent into a data pipeline, moving monitoring insights from Cronitor into your Google Cloud analytics stack where you can really dig in.

Setup guide

Set up Cronitor (Cron Monitoring) 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 Cronitor (Cron Monitoring) 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="Cronitor (Cron Monitoring)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cronitor (Cron Monitoring) 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 Cronitor. 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 Cronitor (Cron Monitoring) 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 Cronitor (Cron Monitoring) MCP in Google ADK

Use the `McpToolset` with your Vinkius server URL. Your Gemini agent can then call `list_monitors` and `get_metrics` to gather the data. You can instruct it to format the output as a CSV for easy import into BigQuery.

Absolutely. Once your agent detects a failing monitor via `list_issues`, you can have it automatically call `create_status_page_component` and `update_status_page_component` to reflect the incident publicly. This closes the loop between detection and communication.

Yes, it fully supports Cronitor environments. Your agent can use `create_environment`, `list_environments`, and `update_environment` to manage separate configs for staging, production, or different regions within your Google Cloud setup.

The `McpToolset` in the Google ADK has a `tool_names` filter. You can give it a list of read-only tools like `list_monitors` and `get_metrics`. The agent won't even know the write tools exist.

The server interacts only with your Cronitor monitoring rules, performance metrics, and incident history. Each request is processed in a dedicated, zero-trust sandbox on Vinkius. Your secrets are stored by Vinkius and are never visible to the agent or Google's models.

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