# How to integrate Heyy MCP with Autogen

```json
{
  "title": "How to integrate Heyy MCP with Autogen",
  "toolkit": "Heyy",
  "toolkit_slug": "heyy",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/heyy/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/heyy/framework/autogen.md",
  "updated_at": "2026-03-29T06:37:25.481Z"
}
```

## Introduction

This guide walks you through connecting Heyy to AutoGen using the Composio tool router. By the end, you'll have a working Heyy agent that can send promotional sms to vip customers, reply to unread instagram messages, broadcast order updates on whatsapp group through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Heyy account through Composio's Heyy MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Heyy with

- [OpenAI Agents SDK](https://composio.dev/toolkits/heyy/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/heyy/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/heyy/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/heyy/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/heyy/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/heyy/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/heyy/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/heyy/framework/cli)
- [Google ADK](https://composio.dev/toolkits/heyy/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/heyy/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/heyy/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/heyy/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/heyy/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/heyy/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 Heyy
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Heyy tools
- Run a live chat loop where you ask the agent to perform Heyy 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 Heyy MCP server, and what's possible with it?

The Heyy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Heyy account. It provides structured and secure access so your agent can perform Heyy operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HEYY_CREATE_ATTRIBUTE` | Create Contact Attribute | Tool to create a new custom attribute for contacts in Heyy. Use when you need to add custom fields to track additional information about contacts, such as customer segments, preferences, or custom identifiers. |
| `HEYY_CREATE_CONTACT` | Create Contact | Tool to create a new contact in Heyy with optional details including first name, last name, email, phone number, labels, and custom attributes. Use when you need to add a new contact to your Heyy account. |
| `HEYY_CREATE_LABEL` | Create Label | Tool to create a new label for categorizing contacts in Heyy. Use when you need to organize contacts into categories or groups. |
| `HEYY_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook for receiving event notifications across multiple channels. Use when you need to set up real-time event notifications for messages. |
| `HEYY_DELETE_ATTRIBUTE` | Delete Attribute | Tool to delete an attribute by its unique identifier. Use when you need to remove an attribute from the system. |
| `HEYY_DELETE_LABEL` | Delete Label | Tool to delete a label by its unique identifier. Use when you need to remove a label from the system. |
| `HEYY_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook by its unique identifier. Use when you need to remove a webhook from Heyy. |
| `HEYY_LIST_ATTRIBUTES` | List Attributes | Tool to retrieve all attributes available in the Heyy system. Use when you need to get a list of all attributes with their properties and visibility settings. |
| `HEYY_LIST_AUTOMATIONS` | List Automations | Tool to retrieve automation workflows for a specified channel. Use when you need to get all workflows configured for a channel. |
| `HEYY_LIST_CHANNELS` | List Channels | Tool to retrieve all available channels from the Heyy system. Use when you need to get a complete list of channels with their details including name, type, status, and timestamps. |
| `HEYY_LIST_MESSAGE_TEMPLATES` | List Message Templates | Tool to retrieve all message templates available in the Heyy system. Use when you need to view all existing templates for messaging. |
| `HEYY_LIST_API_WEBHOOKS` | List API Webhooks | Tool to retrieve all API webhooks configured for the account. Use when you need to inspect or manage webhook configurations. |
| `HEYY_UPDATE_WEBHOOK` | Update Webhook | Tool to update a webhook's URL and active status. Use when you need to modify an existing webhook's endpoint or enable/disable it. |

## Supported Triggers

None listed.

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

The Heyy MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Heyy. Instead of manually wiring Heyy 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 Heyy 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 Heyy 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 Heyy 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 Heyy 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 Heyy session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["heyy"]
    )
    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 Heyy 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 Heyy assistant agent with MCP tools
    agent = AssistantAgent(
        name="heyy_assistant",
        description="An AI assistant that helps with Heyy 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 Heyy 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 Heyy 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 Heyy session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["heyy"]
    )
    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 Heyy assistant agent with MCP tools
        agent = AssistantAgent(
            name="heyy_assistant",
            description="An AI assistant that helps with Heyy 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 Heyy 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 Heyy 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 Heyy, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Heyy MCP Agent with another framework

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

## Related Toolkits

- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication.
- [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack.
- [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.
- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
- [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.
- [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers.
- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.
- [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.
- [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.
- [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed.
- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
- [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns.
- [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.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.

## Frequently Asked Questions

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

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

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

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

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