# How to integrate Whautomate MCP with Autogen ```json { "title": "How to integrate Whautomate MCP with Autogen", "toolkit": "Whautomate", "toolkit_slug": "whautomate", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/whautomate/framework/autogen", "markdown_url": "https://composio.dev/toolkits/whautomate/framework/autogen.md", "updated_at": "2026-05-12T10:30:20.623Z" } ``` ## Introduction This guide walks you through connecting Whautomate to AutoGen 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 AutoGen 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) - [CrewAI](https://composio.dev/toolkits/whautomate/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Install the required dependencies for Autogen and Composio - Initialize Composio and create a Tool Router session for Whautomate - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Whautomate tools - Run a live chat loop where you ask the agent to perform Whautomate operations ## What is AutoGen? Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows. Key features include: - Multi-Agent Systems: Build collaborative agent workflows - MCP Workbench: Native support for Model Context Protocol tools - Streaming HTTP: Connect to external services through streamable HTTP - AssistantAgent: Pre-built agent class for tool-using assistants ## 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 agents and assistants directly to Whautomate. Instead of manually wiring Whautomate APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. 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 You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Whautomate account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 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 Install Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Whautomate via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables Create a .env file in your project folder. What's happening: - COMPOSIO_API_KEY is required to talk to Composio - OPENAI_API_KEY is used by Autogen's OpenAI client - USER_ID is how Composio identifies which user's Whautomate connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Whautomate tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Whautomate session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["whautomate"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for. What's happening: - url points to the Tool Router MCP endpoint from Composio - timeout is the HTTP timeout for requests - sse_read_timeout controls how long to wait when streaming responses - terminate_on_close=True cleans up the MCP server process when the workbench is closed ```python # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Whautomate tools from the workbench ```python # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Whautomate assistant agent with MCP tools agent = AssistantAgent( name="whautomate_assistant", description="An AI assistant that helps with Whautomate operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Whautomate tools to call via MCP - agent.run_stream(...) yields streaming messages as the agent thinks and calls tools - Typing exit, quit, or bye ends the loop ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Whautomate related question or task to the agent.\n") # Conversation loop while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, "content") and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Whautomate session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["whautomate"] ) url = session.mcp.url # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Whautomate assistant agent with MCP tools agent = AssistantAgent( name="whautomate_assistant", description="An AI assistant that helps with Whautomate operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Whautomate related question or task to the agent.\n") # Conversation loop while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, 'content') and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You now have an Autogen assistant wired into Whautomate through Composio's Tool Router and MCP. From here you can: - Add more toolkits to the toolkits list, for example notion or hubspot - Refine the agent description to point it at specific workflows - Wrap this script behind a UI, Slack bot, or internal tool Once the pattern is clear for Whautomate, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## 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) - [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 Autogen? Yes, you can. Autogen 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)