# How to integrate Whautomate MCP with Mastra AI

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

## Introduction

This guide walks you through connecting Whautomate to Mastra AI 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 Mastra AI 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)
- [LlamaIndex](https://composio.dev/toolkits/whautomate/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/whautomate/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Set up your environment so Mastra, OpenAI, and Composio work together
- Create a Tool Router session in Composio that exposes Whautomate tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Whautomate tool definitions and attach them as a toolset
- Build a Mastra agent that can reason, call tools, and return structured results
- Run an interactive CLI where you can chat with your Whautomate agent

## What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.
Key features include:
- MCP Client: Built-in support for Model Context Protocol servers
- Toolsets: Organize tools into logical groups
- Step Callbacks: Monitor and debug agent execution
- OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

## 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:
- Node.js 18 or higher
- A Composio account with an active API key
- An OpenAI API key
- Basic familiarity with TypeScript

### 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 need credits or a connected billing setup to use the models.
- Store the key somewhere safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Whautomate through MCP.

### 2. Install dependencies

Install the required packages.
What's happening:
- @composio/core is the Composio SDK for creating MCP sessions
- @mastra/core provides the Agent class
- @mastra/mcp is Mastra's MCP client
- @ai-sdk/openai is the model wrapper for OpenAI
- dotenv loads environment variables from .env
```bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai 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
- COMPOSIO_USER_ID tells Composio which user this session belongs to
- OPENAI_API_KEY lets the Mastra agent call OpenAI models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

What's happening:
- dotenv/config auto loads your .env so process.env.* is available
- openai gives you a Mastra compatible model wrapper
- Agent is the Mastra agent that will call tools and produce answers
- MCPClient connects Mastra to your Composio MCP server
- Composio is used to create a Tool Router session
```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
```

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

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "whautomate" for Whautomate access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["whautomate"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Whautomate MCP URL:", composioMCPUrl);
```

### 6. Configure Mastra MCP client and fetch tools

What's happening:
- MCPClient takes an id for this client and a list of MCP servers
- The headers property includes the x-api-key for authentication
- getTools fetches the tool definitions exposed by the Whautomate toolkit
```typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
```

### 7. Create the Mastra agent

What's happening:
- Agent is the core Mastra agent
- name is just an identifier for logging and debugging
- instructions guide the agent to use tools instead of only answering in natural language
- model uses openai("gpt-5") to configure the underlying LLM
```typescript
const agent = new Agent({
    name: "whautomate-mastra-agent",
    instructions: "You are an AI agent with Whautomate tools via Composio.",
    model: "openai/gpt-5",
  });
```

### 8. Set up interactive chat interface

What's happening:
- messages keeps the full conversation history in Mastra's expected format
- agent.generate runs the agent with conversation history and Whautomate toolsets
- maxSteps limits how many tool calls the agent can take in a single run
- onStepFinish is a hook that prints intermediate steps for debugging
```typescript
let messages: AiMessageType[] = [];

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

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

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;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        whautomate: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

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

## Complete Code

```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["whautomate"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      whautomate: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "whautomate-mastra-agent",
    instructions: "You are an AI agent with Whautomate tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

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

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { whautomate: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();
```

## Conclusion

You've built a Mastra AI agent that can interact with Whautomate through Composio's Tool Router.
You can extend this further by:
- Adding other toolkits like Gmail, Slack, or GitHub
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows

## 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)
- [LlamaIndex](https://composio.dev/toolkits/whautomate/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/whautomate/framework/crew-ai)

## 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 Mastra AI?

Yes, you can. Mastra AI 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.

---
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