# How to integrate Whautomate MCP with CrewAI

```json
{
  "title": "How to integrate Whautomate MCP with CrewAI",
  "toolkit": "Whautomate",
  "toolkit_slug": "whautomate",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/whautomate/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/whautomate/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:30:20.623Z"
}
```

## 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 a new contact for follow-up, fetch all scheduled broadcasts this week, get chat messages for a specific contact 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/whautomate/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/whautomate/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/whautomate/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/whautomate/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/whautomate/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/whautomate/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/whautomate/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/whautomate/framework/cli)
- [Google ADK](https://composio.dev/toolkits/whautomate/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/whautomate/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/whautomate/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/whautomate/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/whautomate/framework/llama-index)

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `WHAUTOMATE_ADD_CONTACT` | Add Contact | Tool to add a new contact. Use when you need to programmatically create contacts via the API. |
| `WHAUTOMATE_DELETE_SEGMENT` | Delete Segment | Tool to delete a specific segment. Use when you need to remove a segment by its ID. Use after confirming you have the correct segmentId. |
| `WHAUTOMATE_DELETE_SERVICE_CATEGORY` | Delete Service Category | Tool to delete a service category. Use when you need to remove a specific service category by its ID. Use after confirming you have the correct serviceCategoryId. |
| `WHAUTOMATE_GET_ACCOUNT_INFO` | Get Account Info | Tool to retrieve account information for the authenticated user. Use when you need to fetch account details like account name and owner email. |
| `WHAUTOMATE_GET_ALL_WEBHOOKS` | Get All Webhooks | Tool to retrieve all registered webhooks. Use after authenticating to audit or inspect existing webhook subscriptions. |
| `WHAUTOMATE_GET_BROADCAST_BY_ID` | Get Broadcast By ID | Tool to retrieve a specific broadcast's details. Use when you have a broadcast ID and need its metadata. Use after confirming the broadcastId is valid, as this returns detailed broadcast data. |
| `WHAUTOMATE_GET_BROADCASTS` | Get Broadcasts | Tool to retrieve a list of broadcasts. Use when you need to fetch broadcasts with optional filters such as status or date ranges. Example: "Get all scheduled broadcasts after 2023-01-01T00:00:00Z." |
| `WHAUTOMATE_GET_CONTACTS` | Get Contacts | Tool to retrieve a list of contacts. Use when you need to fetch contacts from WhatsApp with optional pagination and filters. |
| `WHAUTOMATE_GET_MESSAGES_OF_CONTACT` | Get Messages of Contact | Tool to retrieve chat messages for a specific contact. Use after providing a valid contactId. Supports pagination and optional date filtering. |
| `WHAUTOMATE_GET_SEGMENTS` | Get Segments | Tool to retrieve a list of segments. Use when you need to fetch segments with optional name filtering and pagination. Segments can be used to organize clients and contacts into groups based on various criteria. |
| `WHAUTOMATE_GET_SERVICE_BY_ID` | Get Service By Id | Tool to retrieve details of a specific service by its unique ID. Use when you need comprehensive service information. |
| `WHAUTOMATE_GET_SERVICE_CATEGORIES` | Get Service Categories | Tool to retrieve a list of service categories. Use when you need to list categories with optional pagination. |
| `WHAUTOMATE_GET_SERVICES` | Get Services | Tool to retrieve a list of services with optional filters. Use when you need to fetch available services for display or scheduling. |
| `WHAUTOMATE_GET_STAFF_AVAILABILITY_BLOCKS` | Get Staff Availability Blocks | Tool to retrieve a staff member's blocked time schedule over a date range. Use when you need to view unavailable slots after confirming staffId and desired date range. |
| `WHAUTOMATE_GET_STAFF_BY_ID` | Get Staff By ID | Tool to retrieve detailed information about a specific staff member. Use when you have a valid staff ID and need full profile details. Use after confirming staffId. |
| `WHAUTOMATE_GET_STAFFS` | Get Staffs | Tool to retrieve a list of staff members. Use when you need to list staff with optional pagination or search filters. |
| `WHAUTOMATE_UPDATE_SERVICE` | Update Service | Tool to update an existing Whautomate service. Use when you need to modify service attributes like name, pricing, duration, or active status. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Whautomate MCP server is an implementation of the Model Context Protocol that connects your AI agent to Whautomate. It provides structured and secure access so your agent can perform Whautomate 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:
- 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

### 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

**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
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**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
```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")
```

### 5. Create a Composio Tool Router session for Whautomate

**What's happening:**
- You create a Whautomate only session through Composio
- Composio returns an MCP HTTP URL that exposes Whautomate tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["whautomate"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**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.
```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,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**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.
```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")
```

## Complete Code

```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

## How to build Whautomate MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/whautomate/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/whautomate/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/whautomate/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/whautomate/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/whautomate/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/whautomate/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/whautomate/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/whautomate/framework/cli)
- [Google ADK](https://composio.dev/toolkits/whautomate/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/whautomate/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/whautomate/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/whautomate/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/whautomate/framework/llama-index)

## Related Toolkits

- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.
- [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.
- [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
- [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code.
- [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding.
- [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls.
- [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources.
- [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.
- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster.
- [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment.
- [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support.
- [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach.
- [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback.
- [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Whautomate MCP?

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.

### Can I use Tool Router MCP with CrewAI?

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.

### Can I manage the permissions and scopes for Whautomate while using Tool Router?

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.

### 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 Whautomate data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
