How to Use the Healthchecks.io MCP in Google ADK
Give your Google ADK agent full control over your Healthchecks.io monitoring. Finally, cron job visibility inside your GCP ecosystem.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Healthchecks.io MCP to Google ADK
Create your Vinkius account to connect Healthchecks.io 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.
Manage Checks Programmatically
Connect your Gemini-powered agent directly to your cron job monitoring. The agent can use `create_check` to provision a monitor for a new Cloud Run job, or `delete_check` to clean up after a temporary task. You can automate maintenance tasks without manual intervention. Your agent can `pause_check` before a planned database migration and then `resume_check` once it's complete, ensuring your dashboards stay green.
Diagnose Job Failures on GCP
When a background task fails, your Google ADK agent can immediately start investigating. It uses `list_pings` to get the heartbeat history and `list_flips` to pinpoint the exact moment the service went down. This context is crucial for Gemini's long-context reasoning. The agent can correlate the output from `get_ping_body` with logs from Google Cloud's operations suite to find the root cause, all within a single session.
Build Dashboards with your ADK Agent
Your agent can become a data source for your internal tools. It can call `list_checks` to get a full inventory of monitored jobs and `list_badges` to grab the SVG URLs for status dashboards. This isn't just for viewing. The agent can check `get_status` to ensure the monitoring service is healthy, then pull data from this MCP server and push it into a BigQuery table for long-term reliability analysis.
Set up Healthchecks.io 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 Healthchecks.io 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="Healthchecks.io_agent",
model="gemini-2.0-flash",
instruction="You have access to Healthchecks.io 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 Healthchecks.io. 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.
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Real-time monitoring
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Common questions about Healthchecks.io MCP in Google ADK
Use it with your favorite AI tools
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