How to integrate Statuscake MCP with LangChain

This guide walks you through connecting Statuscake to LangChain using the Composio tool router. By the end, you'll have a working Statuscake agent that can list all uptime monitoring tests for your sites, show details for ssl check on your domain, retrieve all recent pagespeed test results through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Statuscake account through Composio's Statuscake MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Statuscake is a website monitoring platform offering uptime, page speed, and SSL monitoring. It helps you catch outages and performance issues before your users do.

30 Tools

Introduction

This guide walks you through connecting Statuscake to LangChain using the Composio tool router. By the end, you'll have a working Statuscake agent that can list all uptime monitoring tests for your sites, show details for ssl check on your domain, retrieve all recent pagespeed test results through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Statuscake account through Composio's Statuscake MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Statuscake project to Composio
  • Create a Tool Router MCP session for Statuscake
  • Initialize an MCP client and retrieve Statuscake tools
  • Build a LangChain agent that can interact with Statuscake
  • 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 Statuscake MCP server, and what's possible with it?

The Statuscake MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Statuscake account. It provides structured and secure access to your website and application monitoring tools, so your agent can perform actions like listing uptime tests, checking SSL status, retrieving page speed results, and managing contact groups on your behalf.

  • Comprehensive uptime monitoring: Let your agent list and review all website monitoring tests to ensure your services are online and performing as expected.
  • SSL certificate management: Retrieve current SSL check details or get a full overview of all SSL tests to monitor certificate health and prevent expirations.
  • Page speed insights: Access and analyze all PageSpeed test results to identify performance bottlenecks and track improvements over time.
  • Contact group automation: List, retrieve details for, or delete contact groups to efficiently manage who gets notified about incidents and alerts.
  • Heartbeat and monitoring location checks: Have your agent fetch heartbeat check statuses and list all available monitoring locations for comprehensive observability and troubleshooting.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

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

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

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

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
5

Import dependencies

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();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Statuscake functionality through MCP
6

Initialize Composio client

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()
    });
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 Statuscake tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

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

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Statuscake 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 Statuscake tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "statuscake-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 });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Statuscake MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Statuscake tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Statuscake 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);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Statuscake and LangChain:

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: ['statuscake']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "statuscake-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 Statuscake 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 Statuscake 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.
TOOLS

Supported Tools

Every Statuscake action and event your agent gets out of the box.

Create Contact Group

Tool to create a contact group for alert notifications in StatusCake.

Create Heartbeat Test

Tool to create a heartbeat check in StatusCake.

Create PageSpeed Test

Tool to create a new pagespeed check in StatusCake.

Create Uptime Test

Tool to create a new uptime monitoring check in StatusCake.

Delete Contact Group

Tool to delete a contact group.

Delete Heartbeat Test

Permanently deletes a StatusCake heartbeat check.

Delete PageSpeed Test

Permanently deletes a StatusCake PageSpeed test.

Delete SSL Test

Tool to delete an SSL check with the given ID.

Delete Test

Permanently deletes a StatusCake uptime monitoring test.

Get All Contact Groups

Retrieves a paginated list of contact groups for alert notifications.

Get All Monitoring Locations

Retrieves all available uptime monitoring server locations from StatusCake.

Get All PageSpeed Tests

Tool to retrieve all PageSpeed tests.

Get All Tests

Tool to retrieve a list of all tests.

Get Contact Group Details

Tool to retrieve details of a specific contact group.

Get Heartbeat Checks

Tool to list heartbeat checks.

Get Heartbeat Test

Tool to retrieve details of a specific heartbeat check.

Get Pagespeed Test

Tool to retrieve details of a specific pagespeed check.

Get SSL Check Details

Tool to retrieve details of a specific SSL check.

Get SSL Checks

Retrieve a paginated list of SSL checks configured in your StatusCake account.

Get Uptime Test

Tool to retrieve details of a specific uptime test.

List PageSpeed Monitoring Locations

Retrieves all available PageSpeed monitoring server locations from StatusCake.

List Pagespeed Test History

Tool to retrieve pagespeed check history for a given test ID.

List Uptime Test Alerts

Tool to retrieve a list of alerts for a specific uptime check.

List Uptime Test History

Tool to retrieve uptime check history for a given test ID.

List Uptime Test Periods

Tool to retrieve a list of uptime check periods for a specific test.

Update Contact Group

Updates an existing contact group's configuration in StatusCake.

Update Heartbeat Test

Tool to update an existing heartbeat check with new parameters.

Update Pagespeed Test

Updates a pagespeed check with the given parameters.

Update SSL Test

Tool to update an SSL check with new configuration parameters.

Update Uptime Test

Updates an uptime check with the given parameters.

FRAMEWORKS

How to build Statuscake MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Statuscake MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Statuscake MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Statuscake MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Statuscake MCP with Claude Cowork

Codex logo

Codex

Use Statuscake MCP with Codex

OpenClaw logo

OpenClaw

Use Statuscake MCP with OpenClaw

Hermes logo

Hermes

Use Statuscake MCP with Hermes

CLI logo

CLI

Use Statuscake MCP with CLI

Google ADK logo

Google ADK

Use Statuscake MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Statuscake MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Statuscake MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Statuscake MCP with LlamaIndex

CrewAI logo

CrewAI

Use Statuscake MCP with CrewAI

FAQ

Frequently asked questions

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

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 Statuscake tools.

Yes, absolutely. You can configure which Statuscake 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.

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 Statuscake data and credentials are handled as safely as possible.

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