# How to integrate Uptimerobot MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Uptimerobot MCP with OpenAI Agents SDK",
  "toolkit": "Uptimerobot",
  "toolkit_slug": "uptimerobot",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/uptimerobot/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/uptimerobot/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:29:33.886Z"
}
```

## Introduction

This guide walks you through connecting Uptimerobot to the OpenAI Agents SDK 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 OpenAI Agents SDK 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

- [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)
- [Google ADK](https://composio.dev/toolkits/uptimerobot/framework/google-adk)
- [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 and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Uptimerobot
- Configure an AI agent that can use Uptimerobot as a tool
- Run a live chat session where you can ask the agent to perform Uptimerobot operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Uptimerobot project
- Some knowledge of Python or Typescript

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

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Uptimerobot.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only uptimerobot.
- The router checks the user's Uptimerobot connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Uptimerobot.
- This approach keeps things lightweight and lets the agent request Uptimerobot tools only when needed during the conversation.
```python
# Create a Uptimerobot Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["uptimerobot"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Uptimerobot
const session = await composio.create(userId as string, {
  toolkits: ['uptimerobot'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Uptimerobot. "
        "Help users perform Uptimerobot operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Uptimerobot. Help users perform Uptimerobot operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["uptimerobot"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Uptimerobot. "
        "Help users perform Uptimerobot operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['uptimerobot'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Uptimerobot. Help users perform Uptimerobot operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Uptimerobot MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Uptimerobot.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Uptimerobot MCP Agent with another framework

- [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)
- [Google ADK](https://composio.dev/toolkits/uptimerobot/framework/google-adk)
- [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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- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
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- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [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.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## 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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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)