How to Use the Uptime.com MCP in Google ADK

Q: How can I access Uptime.com monitoring data with Google ADK?

The agent uses the MCP Server to call tools like listchecks and getcheckstats. This lets your Gemini models reason over real-time operational data.

Q: What if I need to modify a service check using Google ADK?

The agent calls the updatecheck tool, passing the specific parameters for the change. It’s a direct action on the MCP Server that modifies the monitoring rules.

Q: Can I analyze historical uptime data with Uptime.com and Google ADK?

Yes. You can pull detailed statistics via getcheckstats, which feeds directly into your BigQuery dataset for long-context reasoning.

Q: Does the MCP Server support deleting checks when I use Google ADK?

The agent executes the deletecheck tool, ensuring that monitoring rules are properly removed from the system. This is a controlled action on the live data.

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Create your Vinkius account to connect Uptime.com 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 Uptime.com with Google ADK

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MCP Server: Inventory and Setup Checks

The MCP Server lets your agent manage all your services' health checks. Use `list_checks` to get a list of every single monitored API or website. Need to set up something new? Call `create_check` with the correct HTTP parameters. If you need to adjust existing monitoring rules, the agent runs `update_check` against the MCP Server.

Analyzing Service Downtime Data

Agents can pull detailed service status using `get_check` or review multiple metrics with `get_check_stats`. For deep investigation, you get alert context via `get_root_cause_analysis`, which is crucial for BigQuery ingestion. Furthermore, `list_recent_alerts` keeps your agent updated on immediate issues.

Managing Global Monitoring Scope

Your agent can see the entire scope of monitoring by calling `list_monitoring_nodes`. It also tracks every integration point using `list_integrations`, showing where the data is coming from. To understand your account limits or details, use `get_account_info` to pull profile information.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uptime.com. 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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Common questions about Uptime.com MCP in Google ADK

The agent uses the MCP Server to call tools like `list_checks` and `get_check_stats`. This lets your Gemini models reason over real-time operational data.

The agent calls the `update_check` tool, passing the specific parameters for the change. It’s a direct action on the MCP Server that modifies the monitoring rules.

Yes. You can pull detailed statistics via `get_check_stats`, which feeds directly into your BigQuery dataset for long-context reasoning.

The agent executes the `delete_check` tool, ensuring that monitoring rules are properly removed from the system. This is a controlled action on the live data.

This server manages operational status data: check definitions, alert logs, monitoring node locations, and account profile details.

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