Can I automatically monitor a newly deployed application?

Absolutely. After you deploy a new service (for example, inside an IDE like Cursor), you can casually text the agent: `Create an HTTP uptime monitor for https://new-service.com called 'Frontend Node'`. The agent natively crafts the exact UptimeRobot POST configuration and injects the endpoints. Zero web dashboards needed.

How do I easily get an executive summary of server incidents across my company?

You don't need to sift manually through UptimeRobot's metrics arrays. Prompt your agent to `get details for all monitors and summarize our SLA ratio`. It will fetch the individual up-ratio indicators for every entry, average them, highlight any services below 99.9%, and present you a clean Markdown table summarizing the state of your whole operations in seconds.

Why should I reset my monitor logs by AI?

Oftentimes a development server has planned downtime, destroying your overall "green board" of perfect SLA. By asking the AI to `reset logs for monitor ID X`, you cleanly wipe the inaccurate or skewed history and start recording clean metrics instantly without disturbing real-time operations.

UptimeRobot MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: UptimeRobot
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add UptimeRobot as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="uptimerobot_agent",
    instruction=(
        "You help users interact with UptimeRobot "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About UptimeRobot MCP Server

Connect your UptimeRobot account to any AI agent to actively manage your website monitors, alert contacts, and response times directly from your conversational workspace.

Google ADK natively supports UptimeRobot as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Uptime Monitors — List all configured services natively, retrieve individual historical logs, create new endpoints to monitor (HTTP, Ping), edit configurations, or permanently delete monitors.
Alert Contacts — Browse your configured alert notification targets (Email, Slack, Webhooks), create new distribution recipients, and manage who gets notified upon downtime.
Metrics & History — Reset historical statistics for specific monitors quickly or retrieve the raw data array of up ratios and response times to graph or analyze.
Account Setup — Extract UptimeRobot account usage to discover your remaining monitor slots limits and overall subscription features.

The UptimeRobot MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect UptimeRobot to Google ADK via MCP

Follow these steps to integrate the UptimeRobot MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from UptimeRobot via MCP

Why Use Google ADK with the UptimeRobot MCP Server

Google ADK provides unique advantages when paired with UptimeRobot through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with UptimeRobot

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine UptimeRobot tools with BigQuery, Vertex AI, and Cloud Functions

UptimeRobot + Google ADK Use Cases

Practical scenarios where Google ADK combined with the UptimeRobot MCP Server delivers measurable value.

Enterprise data agents: ADK agents query UptimeRobot and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine UptimeRobot tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query UptimeRobot regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including UptimeRobot

UptimeRobot MCP Tools for Google ADK (10)

These 10 tools become available when you connect UptimeRobot to Google ADK via MCP:

create_alert_contact

Type 2=Email, 11=Slack. Creates a new alert notification target

create_uptime_monitor

Provide a friendly name, URL, and type (1=HTTP, 3=Ping). Creates a new uptime monitor

delete_alert_contact

This action is irreversible. Permanently deletes an alert contact

delete_uptime_monitor

This action is irreversible. Permanently deletes an uptime monitor

get_account_info

Retrieves UptimeRobot account usage and limits

get_monitor_details

Retrieves full details for a specific UptimeRobot monitor

list_alert_contacts

Lists all configured alert notification targets (Email, Slack, Webhook, etc.)

list_monitors

Returns pass/fail status, up ratio, and response times. Lists all uptime monitors configured in UptimeRobot

reset_monitor_logs

Resets monitoring logs and statistics for a specific monitor

update_uptime_monitor

Updates an existing monitor configuration

Example Prompts for UptimeRobot in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with UptimeRobot immediately.

"List all my monitors and highlight any that are currently down."

"Create an HTTP monitor for our newly deployed marketing site (`https://marketing.vinkius.com/`)."

"Delete alert contact 'old-devops@acme.com'. Our team rotated users."

Troubleshooting UptimeRobot MCP Server with Google ADK

Common issues when connecting UptimeRobot to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

UptimeRobot + Google ADK FAQ

Common questions about integrating UptimeRobot MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.