How to integrate Statuscake MCP with CrewAI

This guide walks you through connecting Statuscake to CrewAI 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 CrewAI 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.

Statuscake logoStatuscake
Api Key

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 CrewAI 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 CrewAI 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 a Composio API key and configure your Statuscake connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Statuscake
  • Build a conversational loop where your agent can execute Statuscake operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Statuscake connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Statuscake via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

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

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Statuscake MCP URL
6

Create a Composio Tool Router session for Statuscake

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["statuscake"])

url = session.mcp.url
What's happening:
  • You create a Statuscake only session through Composio
  • Composio returns an MCP HTTP URL that exposes Statuscake tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

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

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

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.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["statuscake"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Statuscake through Composio's Tool Router. The agent can perform Statuscake operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
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.

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. CrewAI 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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