How to integrate Helpwise MCP with Autogen

This guide walks you through connecting Helpwise to AutoGen using the Composio tool router. By the end, you'll have a working Helpwise agent that can add note to open conversation with client, delete outdated contact from contact list, create new team for support agents through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Helpwise account through Composio's Helpwise MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Helpwise

Api Key

Helpwise is a unified customer service platform for managing all your business emails, chats, and SMS in one place. It helps teams collaborate on customer conversations more efficiently and never miss important messages.

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Introduction

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

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

Also integrate Helpwise with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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 Helpwise
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Helpwise tools
Run a live chat loop where you ask the agent to perform Helpwise 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 Helpwise MCP server, and what's possible with it?

The Helpwise MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Helpwise account. It provides structured and secure access to your customer communication tools, so your agent can create conversations, manage notes, upload attachments, delete messages, and organize your Helpwise workspace on your behalf.

Attachment management and uploads: Easily upload files as attachments to conversations and retrieve attachment metadata for streamlined file sharing.
Conversation note automation: Let your agent add or remove notes to specific conversations, making it easy to document context or follow up actions.
Mailbox and conversation cleanup: Direct your agent to delete entire conversations, mailboxes, or individual messages for efficient workspace management.
Contact and signature management: Seamlessly delete contacts and email signatures, keeping your Helpwise account up to date and clutter-free.
Webhook and team setup: Have your agent create new webhooks for event notifications or set up Helpwise teams to organize your users for better collaboration.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Helpwise account you can connect to Composio
Some basic familiarity with Autogen and Python async

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
Keep the API key safe.

Composio API Key

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Helpwise via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

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 Helpwise connections to use

Import dependencies and create Tool Router session

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 Helpwise session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["helpwise"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Helpwise tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

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")}
)

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

Create the model client and agent

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 Helpwise assistant agent with MCP tools
    agent = AssistantAgent(
        name="helpwise_assistant",
        description="An AI assistant that helps with Helpwise operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Helpwise tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Helpwise 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")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Helpwise 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

Complete Code

Here's the complete code to get you started with Helpwise and AutoGen:

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 Helpwise session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["helpwise"]
    )
    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 Helpwise assistant agent with MCP tools
        agent = AssistantAgent(
            name="helpwise_assistant",
            description="An AI assistant that helps with Helpwise 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 Helpwise 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 Helpwise 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 Helpwise, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

Every Helpwise action and event your agent gets out of the box.

Create attachment

Tool to upload a new attachment.

Add note to conversation

Tool to add a note to a conversation.

Create Helpwise Team

Creates a new team in Helpwise to group users for collaboration and assignment purposes.

Create Helpwise Webhook

Creates a new webhook subscription in Helpwise to receive real-time event notifications.

Delete Contact

Deletes a contact from Helpwise by its unique identifier (ID).

Delete Helpwise Conversation

Attempts to delete a conversation by ID from Helpwise.

Delete Mailbox

Tool to delete a mailbox by its unique identifier.

Delete Helpwise Message

Attempts to delete a message from Helpwise.

Delete Helpwise Note

Tool to delete a note from a conversation.

Delete Email Signature

Deletes an email signature from Helpwise.

Delete Tag

Permanently deletes a tag from Helpwise.

Delete Team

Tool to delete a team.

Delete Template

Deletes a Helpwise email template (saved reply) by its ID.

Delete Helpwise Webhook

Delete a Helpwise webhook by its ID.

Get Attachment

Retrieves a specific attachment by its unique identifier.

Get Conversation Attachments

Retrieves attachments from messages in a specific conversation.

Get Helpwise Contact

Retrieves detailed information for a specific contact by ID.

Get Conversation

Retrieves complete details of a specific conversation by ID from Helpwise.

Get Conversations

Tool to retrieve a list of conversations.

Get Helpwise Custom Field

Retrieves details of a specific custom field by its ID.

Get Helpwise Mailbox

Tool to retrieve details of a specific mailbox by its ID.

Get Helpwise Mailboxes

Tool to retrieve mailboxes.

Get Conversation Note

Tool to retrieve details of a specific note.

Get Conversation Notes

Retrieves all notes associated with a specific conversation.

Get Helpwise Tag

Retrieves detailed information about a specific tag in Helpwise.

Get Helpwise Team

Retrieves details of a specific Helpwise team by its ID.

Get Helpwise Teams

Tool to retrieve Helpwise teams.

Get Helpwise WhatsApp Templates

Tool to retrieve Helpwise WhatsApp message templates.

Get Helpwise Users

Tool to retrieve Helpwise users list.

Get Helpwise Webhook

Retrieve detailed configuration for a specific Helpwise webhook by its ID.

Get Helpwise Webhooks

Tool to retrieve Helpwise webhooks.

Search Helpwise Contacts

Tool to search contacts by term with pagination.

Update Helpwise Contact

Tool to update an existing Helpwise contact.

Update Mailbox

Updates an existing Helpwise mailbox.

Update Helpwise Message

Tool to update an existing message.

Update Helpwise Tag

Updates an existing tag's name and/or color in Helpwise.

Update Helpwise Template

Updates an existing Helpwise email template by modifying its name, subject, and/or HTML content.

FRAMEWORKS

How to build Helpwise MCP Agent with another framework

OpenAI Agents SDK

Use Helpwise MCP with OpenAI Agents SDK

Claude Agent SDK

Use Helpwise MCP with Claude Agent SDK

Claude Code

Use Helpwise MCP with Claude Code

Claude Cowork

Use Helpwise MCP with Claude Cowork

Codex

Use Helpwise MCP with Codex

OpenClaw

Use Helpwise MCP with OpenClaw

Hermes

Use Helpwise MCP with Hermes

CLI

Use Helpwise MCP with CLI

Google ADK

Use Helpwise MCP with Google ADK

LangChain

Use Helpwise MCP with LangChain

Vercel AI SDK

Use Helpwise MCP with Vercel AI SDK

Mastra AI

Use Helpwise MCP with Mastra AI

LlamaIndex

Use Helpwise MCP with LlamaIndex

CrewAI

Use Helpwise MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

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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

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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.

FAQ

Frequently asked questions

With a standalone Helpwise MCP server, the agents and LLMs can only access a fixed set of Helpwise tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Helpwise and many other apps based on the task at hand, all through a single MCP endpoint.

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 Helpwise tools.

Yes, absolutely. You can configure which Helpwise scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Helpwise data and credentials are handled as safely as possible.

Start with Helpwise.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Helpwise tool your agent needs.Free to start.

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Customer stories

Teams ship real agents on Composio

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Helpwise MCP with Autogen

Connect Helpwise without auth hassles

Introduction

Also integrate Helpwise with

TL;DR

What is AutoGen?

What is the Helpwise MCP server, and what's possible with it?

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools

How to build Helpwise MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Aeroleads

Autobound

Better proposals

Bidsketch

Frequently asked questions

What are the differences in Tool Router MCP and Helpwise MCP?+

Can I use Tool Router MCP with Autogen?+

Can I manage the permissions and scopes for Helpwise while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Helpwise.It takes 30 seconds.

Teams ship real agents on Composio