# How to integrate Uptimerobot MCP with Google ADK

```json
{
  "title": "How to integrate Uptimerobot MCP with Google ADK",
  "toolkit": "Uptimerobot",
  "toolkit_slug": "uptimerobot",
  "framework": "Google ADK",
  "framework_slug": "google-adk",
  "url": "https://composio.dev/toolkits/uptimerobot/framework/google-adk",
  "markdown_url": "https://composio.dev/toolkits/uptimerobot/framework/google-adk.md",
  "updated_at": "2026-05-12T10:29:33.886Z"
}
```

## Introduction

This guide walks you through connecting Uptimerobot to Google ADK using the Composio tool router. By the end, you'll have a working Uptimerobot agent that can add a new monitor for your homepage, delete the monitor for staging site, edit the maintenance window for tonight through natural language commands.
This guide will help you understand how to give your Google ADK agent real control over a Uptimerobot account through Composio's Uptimerobot MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Uptimerobot with

- [OpenAI Agents SDK](https://composio.dev/toolkits/uptimerobot/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/uptimerobot/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/uptimerobot/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/uptimerobot/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/uptimerobot/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/uptimerobot/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/uptimerobot/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/uptimerobot/framework/cli)
- [LangChain](https://composio.dev/toolkits/uptimerobot/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/uptimerobot/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/uptimerobot/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/uptimerobot/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/uptimerobot/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get a Uptimerobot account set up and connected to Composio
- Install the Google ADK and Composio packages
- Create a Composio Tool Router session for Uptimerobot
- Build an agent that connects to Uptimerobot through MCP
- Interact with Uptimerobot using natural language

## What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.
Key features include:
- Gemini Integration: Native support for Google's Gemini models
- MCP Toolset: Built-in support for Model Context Protocol tools
- Streamable HTTP: Connect to external services through streamable HTTP
- CLI and Web UI: Run agents via command line or web interface

## What is the Uptimerobot MCP server, and what's possible with it?

The Uptimerobot MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Uptimerobot account. It provides structured and secure access to your monitoring dashboard, so your agent can perform actions like creating monitors, managing maintenance windows, retrieving account details, and updating public status pages on your behalf.
- Automated monitor management: Easily add, edit, or delete monitors for your websites, applications, or services without manual dashboard navigation.
- Maintenance window control: Let your agent fetch, edit, or update maintenance windows to schedule downtime or maintenance periods programmatically.
- Public status page updates: Directly modify the configuration and details of your public status pages to keep stakeholders informed in real time.
- Account and performance insights: Retrieve comprehensive account metrics, including details about your monitors and overall uptime statistics, with a simple agent request.
- Monitor authentication and headers management: Inspect or adjust authentication types, custom HTTP headers, and HTTP status codes for your monitors for advanced configuration and troubleshooting.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `UPTIMEROBOT_ADD_MONITOR` | Add Monitor | Tool to create a new monitor. Use when you need to start monitoring a URL or service; call after obtaining a valid API key. |
| `UPTIMEROBOT_DELETE_MONITOR` | Delete Monitor | Tool to delete a monitor. Use when you need to remove an existing monitor by its ID; use after confirming the monitor ID. |
| `UPTIMEROBOT_EDIT_MAINTENANCE_WINDOW` | Edit Maintenance Window | Tool to edit an existing maintenance window. Use when you need to update its name, timing, recurrence, or duration after confirming the window ID. |
| `UPTIMEROBOT_EDIT_MONITOR` | Edit Monitor | Tool to edit an existing monitor. Use after confirming the monitor ID exists. |
| `UPTIMEROBOT_EDIT_PUBLIC_STATUS_PAGE` | Edit Public Status Page | Tool to edit an existing public status page. Use after confirming the page ID. Updates friendly name, monitor set, domain, and status options in one call. |
| `UPTIMEROBOT_GET_ACCOUNT_DETAILS` | Get Account Details | Tool to retrieve account details. Use after authenticating with a valid API key to fetch account metrics. |
| `UPTIMEROBOT_GET_ALERT_CONTACTS` | Get Alert Contacts | Tool to retrieve all alert contacts configured for the account. Use when you need to list available notification channels. |
| `UPTIMEROBOT_GET_MAINTENANCE_WINDOW` | Get Maintenance Window | Tool to retrieve a specific maintenance window by ID. Use when you need to get detailed information about a single maintenance window. |
| `UPTIMEROBOT_GET_MAINTENANCE_WINDOWS` | Get Maintenance Windows | Tool to retrieve maintenance windows. Use after confirming a valid API key. |
| `UPTIMEROBOT_GET_MONITORS` | Get Monitors | Tool to fetch monitor details and status. Use after confirming account connection. |
| `UPTIMEROBOT_GET_PUBLIC_STATUS_PAGES` | Get Public Status Pages | Tool to retrieve public status pages. Use after confirming API credentials to list all public status pages for an account. Supports pagination. |
| `UPTIMEROBOT_LIST_INTEGRATIONS` | List Integrations | Tool to list all integrations. Use to retrieve configured integrations for the account. |
| `UPTIMEROBOT_LIST_PSPS` | List Public Status Pages (v3) | Tool to list public status pages using the v3 API. Use to retrieve all PSPs with cursor-based pagination. |
| `UPTIMEROBOT_NEW_MAINTENANCE_WINDOW` | New Maintenance Window | Tool to create a new maintenance window. Use after confirming window parameters. |
| `UPTIMEROBOT_NEW_PUBLIC_STATUS_PAGE` | New Public Status Page | Tool to create a new public status page. Use when you want to publish a public status page for selected monitors after specifying a friendly name. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Uptimerobot MCP server is an implementation of the Model Context Protocol that connects your AI agent to Uptimerobot. It provides structured and secure access so your agent can perform Uptimerobot operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- A Google API key for Gemini models
- A Composio account and API key
- Python 3.9 or later installed
- Basic familiarity with Python

### 1. Getting API Keys for Google and Composio

Google API Key
- Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and create an API key.
- Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
- Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.

### 2. Install dependencies

Inside your virtual environment, install the required packages.
What's happening:
- google-adk is Google's Agents Development Kit
- composio connects your agent to Uptimerobot via MCP
- python-dotenv loads environment variables
```bash
pip install google-adk composio python-dotenv
```

### 3. Set up ADK project

Set up a new Google ADK project.
What's happening:
- This creates an agent folder with a root agent file and .env file
```bash
adk create my_agent
```

### 4. Set environment variables

Save all your credentials in the .env file.
What's happening:
- GOOGLE_API_KEY authenticates with Google's Gemini models
- COMPOSIO_API_KEY authenticates with Composio
- COMPOSIO_USER_ID identifies the user for session management
```bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email
```

### 5. Import modules and validate environment

What's happening:
- os reads environment variables
- Composio is the main Composio SDK client
- GoogleProvider declares that you are using Google ADK as the agent runtime
- Agent is the Google ADK LLM agent class
- McpToolset lets the ADK agent call MCP tools over HTTP
```python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
```

### 6. Create Composio client and Tool Router session

What's happening:
- Authenticates to Composio with your API key
- Declares Google ADK as the provider
- Spins up a short-lived MCP endpoint for your user and selected toolkit
- Stores the MCP HTTP URL for the ADK MCP integration
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["uptimerobot"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
```

### 7. Set up the McpToolset and create the Agent

What's happening:
- Connects the ADK agent to the Composio MCP endpoint through McpToolset
- Uses Gemini as the model powering the agent
- Lists exact tool names in instruction to reduce misnamed tool calls
```python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Uptimerobot operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

### 8. Run the agent

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.
What's happening:
- adk run runs the agent in CLI mode
- adk web . opens a web UI for interactive testing
```bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web
```

## Complete Code

```python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["uptimerobot"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Uptimerobot operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

## Conclusion

You've successfully integrated Uptimerobot with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Uptimerobot using natural language commands.
Key takeaways:
- The Tool Router approach dynamically routes requests to the appropriate Uptimerobot tools
- Environment variables keep your credentials secure and separate from code
- Clear agent instructions reduce tool calling errors
- The ADK web UI provides an interactive interface for testing and development
You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

## How to build Uptimerobot MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/uptimerobot/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/uptimerobot/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/uptimerobot/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/uptimerobot/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/uptimerobot/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/uptimerobot/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/uptimerobot/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/uptimerobot/framework/cli)
- [LangChain](https://composio.dev/toolkits/uptimerobot/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/uptimerobot/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/uptimerobot/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/uptimerobot/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/uptimerobot/framework/crew-ai)

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- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Uptimerobot MCP?

With a standalone Uptimerobot MCP server, the agents and LLMs can only access a fixed set of Uptimerobot tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Uptimerobot and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Google ADK?

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Uptimerobot tools.

### Can I manage the permissions and scopes for Uptimerobot while using Tool Router?

Yes, absolutely. You can configure which Uptimerobot scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Uptimerobot data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
