# How to integrate Uptimerobot MCP with LangChain

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

## Introduction

This guide walks you through connecting Uptimerobot to LangChain 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 LangChain 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)
- [Google ADK](https://composio.dev/toolkits/uptimerobot/framework/google-adk)
- [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
- Connect your Uptimerobot project to Composio
- Create a Tool Router MCP session for Uptimerobot
- Initialize an MCP client and retrieve Uptimerobot tools
- Build a LangChain agent that can interact with Uptimerobot
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## 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

No description provided.

### 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).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Uptimerobot tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Uptimerobot tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Uptimerobot tools as needed
```python
# Create Tool Router session for Uptimerobot
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['uptimerobot']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['uptimerobot']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "uptimerobot-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "uptimerobot-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Uptimerobot related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Uptimerobot related question or task to the agent.\n");

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

rl.prompt();

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

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

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

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['uptimerobot']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "uptimerobot-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Uptimerobot related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['uptimerobot']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "uptimerobot-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Uptimerobot related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Uptimerobot through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## 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)
- [Google ADK](https://composio.dev/toolkits/uptimerobot/framework/google-adk)
- [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.
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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 LangChain?

Yes, you can. LangChain 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)