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How to integrate Whautomate MCP with CrewAI

Connect CrewAI to Whautomate MCP. Add a new contact for follow-up, fetch all scheduled broadcasts this week, and more using natural language, with authentication handled for you.

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Whautomate is a customer engagement platform for AI chatbots, appointment booking, and messaging. It helps teams automate conversations and broadcasts across channels with ease.

17 Tools

Introduction

This guide walks you through connecting Whautomate to CrewAI using the Composio tool router. By the end, you'll have a working Whautomate agent that can add and list contacts, read contact messages, review broadcasts, manage services, and check staff availability through natural language commands.

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

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

Also integrate Whautomate with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexPydantic AIAutoGen

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Whautomate connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Whautomate
  • Build a conversational loop where your agent can execute Whautomate 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 Whautomate MCP server, and what's possible with it?

The Whautomate MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Whautomate account. It provides structured and secure access to customer engagement resources, so your agent can manage contacts, schedule broadcasts, retrieve chat histories, and organize messaging segments automatically on your behalf.

  • Contact management and automation: Quickly add new contacts or retrieve lists of WhatsApp contacts to streamline customer engagement and outreach.
  • Broadcast scheduling and tracking: Instruct your agent to fetch, inspect, or get details on message broadcasts—including status tracking and filtering by date or type.
  • Chat history and message retrieval: Have your agent pull detailed chat messages for individual contacts, so you can review conversations, follow up intelligently, or analyze engagement history.
  • Segment and service organization: Effortlessly manage audience segments and services—fetching, deleting, or organizing them to keep your communication campaigns targeted and up-to-date.
  • Webhook and integration oversight: Retrieve all registered webhooks to monitor and audit external integrations, ensuring your automations stay connected and reliable.

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 Whautomate 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 Whautomate 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 Whautomate MCP URL
6

Create a Composio Tool Router session for Whautomate

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

url = session.mcp.url
What's happening:
  • You create a Whautomate only session through Composio
  • Composio returns an MCP HTTP URL that exposes Whautomate 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 Whautomate 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=["whautomate"],
)
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 Whautomate through Composio's Tool Router. The agent can perform Whautomate 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 Whautomate action and event your agent gets out of the box.

Add Contact

Tool to add a new contact.

Delete Segment

Tool to delete a specific segment.

Delete Service Category

Tool to delete a service category.

Get Account Info

Tool to retrieve account information for the authenticated user.

Get All Webhooks

Retrieve a page of registered webhooks for auditing or inspecting subscriptions, with optional pagination.

Get Broadcast By ID

Tool to retrieve a specific broadcast's details.

Get Broadcasts

Retrieve a list of broadcasts with optional date, location and text filters and pagination.

Get Contacts

Retrieve a list of contacts with optional pagination and filters, including communication channel.

Get Messages of Contact

Retrieve chat messages for a specific Whautomate contact by contact ID.

Get Segments

Retrieve Whautomate segments with optional name and location filters and pagination.

Get Service By Id

Retrieve details of a specific Whautomate service by its unique ID.

Get Service Categories

Retrieve a list of Whautomate service categories, with optional limit and offset parameters for pagination.

Get Services

Tool to retrieve a list of services with optional filters.

Get Staff Availability Blocks

Tool to retrieve a staff member's blocked time schedule over a date range.

Get Staff By ID

Tool to retrieve detailed information about a specific staff member.

Get Staffs

Tool to retrieve a list of staff members.

Update Service

Tool to update an existing Whautomate service.

FRAMEWORKS

How to build Whautomate MCP Agent with another framework

Claude Code logo

Claude Code

Use Whautomate MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Whautomate MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

Use Whautomate MCP with Claude Agent SDK

Codex logo

Codex

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OpenClaw logo

OpenClaw

Use Whautomate MCP with OpenClaw

Hermes logo

Hermes

Use Whautomate MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Whautomate MCP with Atomic Agent

Google ADK logo

Google ADK

Use Whautomate MCP with Google ADK

LangChain logo

LangChain

Use Whautomate MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Whautomate MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Whautomate MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Whautomate MCP with LlamaIndex

Pydantic AI logo

Pydantic AI

Use Whautomate MCP with Pydantic AI

AutoGen logo

AutoGen

Use Whautomate MCP with AutoGen

FAQ

Frequently asked questions

With a standalone Whautomate MCP server, the agents and LLMs can only access a fixed set of Whautomate tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Whautomate 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 Whautomate tools.

Yes, absolutely. You can configure which Whautomate 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 Whautomate data and credentials are handled as safely as possible.

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