How to integrate Supportbee MCP with Autogen

This guide walks you through connecting Supportbee to AutoGen using the Composio tool router. By the end, you'll have a working Supportbee agent that can archive all tickets resolved this week, assign new tickets to the support team, create a reusable snippet for refund replies through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Supportbee account through Composio's Supportbee MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Get started for freeGet a demo
Supportbee logoSupportbee
Api Key

SupportBee is a web-based email support tool for organizing customer support emails. It streamlines team collaboration and keeps customer conversations efficient and accessible.

41 Tools

Introduction

This guide walks you through connecting Supportbee to AutoGen using the Composio tool router. By the end, you'll have a working Supportbee agent that can archive all tickets resolved this week, assign new tickets to the support team, create a reusable snippet for refund replies through natural language commands.

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

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

Also integrate Supportbee with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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

The Supportbee MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Supportbee account. It provides structured and secure access to your support ticketing system, so your agent can perform actions like creating and replying to tickets, managing team assignments, organizing tickets, and automating support workflows on your behalf.

  • Automated ticket creation and updates: Instantly open new support tickets, update their content, or post replies to customer inquiries without leaving your workflow.
  • Team assignment and ticket routing: Direct your agent to assign tickets to the right team or agent, ensuring every request is handled by the appropriate group.
  • Archiving and deleting tickets: Keep your helpdesk organized by having the agent archive resolved tickets or permanently remove unwanted ones from the system.
  • Reusable response snippets: Let your agent create, manage, and delete response templates so your team can reply faster and more consistently.
  • Rule-based workflow automation: Empower your agent to create new automation rules that streamline ticket routing, escalation, and handling based on custom conditions.

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:

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

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Supportbee account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

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.
3

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 Supportbee via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

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 Supportbee connections to use
5

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 Supportbee session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["supportbee"]
    )
    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 Supportbee tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

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
7

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 Supportbee assistant agent with MCP tools
    agent = AssistantAgent(
        name="supportbee_assistant",
        description="An AI assistant that helps with Supportbee 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 Supportbee tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Supportbee 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 Supportbee 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 Supportbee 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 Supportbee session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["supportbee"]
    )
    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 Supportbee assistant agent with MCP tools
        agent = AssistantAgent(
            name="supportbee_assistant",
            description="An AI assistant that helps with Supportbee 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 Supportbee 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 Supportbee 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 Supportbee, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Add Label to Ticket

Tool to add a label to a ticket.

Archive SupportBee Ticket

Tool to archive a SupportBee ticket by its ID.

Assign Ticket to Team

Assigns a ticket to a team in SupportBee.

Create Ticket Comment

Creates an internal comment on a ticket in SupportBee.

Create Consequence

Creates a new consequence for rules automation in SupportBee.

Create Forwarding Email

Create a new forwarding email address for the company in SupportBee.

Create Filter

Creates a filter in SupportBee by linking a rule with a consequence.

Create Rule

Creates a new automation rule in SupportBee to automatically process tickets based on conditions.

Create Snippet

Create a reusable snippet (canned response) in SupportBee.

Create SupportBee Ticket

Creates a new support ticket in SupportBee with a subject, content, and requester details.

Create Ticket Reply

Create a reply to a support ticket in SupportBee.

Create SupportBee User

Invites a new user to your SupportBee account.

Delete Snippet

Permanently delete a snippet by its ID from SupportBee.

Delete SupportBee Ticket

Permanently delete a trashed ticket from SupportBee.

Fetch Forwarding Emails

Retrieve all forwarding email addresses configured for the company.

Fetch SupportBee Labels

Tool to retrieve all custom labels.

Fetch Snippets

Fetches saved response snippets (canned responses/templates) from SupportBee.

Fetch SupportBee Teams

Retrieves all teams in the SupportBee account.

Get Avg First Response Time Report

Tool to retrieve average first response time data points over time.

Get Replies Count Report

Retrieves replies count report data for the company.

Get Ticket

Tool to retrieve a specific SupportBee ticket by its ID.

Get Tickets Count Report

Tool to get ticket count data points over time.

List Ticket Comments

Retrieves all internal comments (private agent notes) for a specific ticket.

List Ticket Replies

Lists all replies on a specific support ticket in SupportBee.

List Tickets

Tool to list tickets from SupportBee.

List SupportBee Users

Retrieves all users and customer groups in your SupportBee company.

Mark SupportBee Ticket as Answered

Marks a SupportBee ticket as answered by adding the 'answered' status.

Mark SupportBee Ticket as Spam

Tool to mark a SupportBee ticket as spam.

Mark SupportBee Ticket as Unanswered

Marks a SupportBee ticket as unanswered by removing its 'answered' status.

Remove Label From Ticket

Tool to remove a label from a ticket.

Search SupportBee Tickets

Tool to search SupportBee tickets.

Show Ticket Reply

Tool to fetch a specific reply for a SupportBee ticket.

Show SupportBee User or Customer Group

Retrieves details of a SupportBee user (agent/admin) or customer group by their ID.

Trash SupportBee Ticket

Tool to trash a SupportBee ticket by its ID.

Unarchive SupportBee Ticket

Tool to unarchive a SupportBee ticket by its ID.

Unassign Ticket from Team

Tool to un-assign a ticket from its assigned team.

Unassign User From Ticket

Tool to un-assign a ticket from its assigned user/agent.

Unmark SupportBee Ticket as Spam

Tool to unmark a SupportBee ticket as spam.

Untrash SupportBee Ticket

Restores a trashed SupportBee ticket back to active status.

Update Snippet

Update an existing snippet (canned response) in SupportBee.

Update SupportBee User

Update an existing SupportBee user's profile information including name, email, role, avatar, or signature.

FRAMEWORKS

How to build Supportbee MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Supportbee MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Supportbee MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Supportbee MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Supportbee MCP with Claude Cowork

Codex logo

Codex

Use Supportbee MCP with Codex

OpenClaw logo

OpenClaw

Use Supportbee MCP with OpenClaw

Hermes logo

Hermes

Use Supportbee MCP with Hermes

CLI logo

CLI

Use Supportbee MCP with CLI

Google ADK logo

Google ADK

Use Supportbee MCP with Google ADK

LangChain logo

LangChain

Use Supportbee MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Supportbee MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Supportbee MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Supportbee MCP with LlamaIndex

CrewAI logo

CrewAI

Use Supportbee MCP with CrewAI

FAQ

Frequently asked questions

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

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

Start with Supportbee.It takes 30 seconds.

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

Start building
Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREEBOOK A DEMO
agent.aiZoomLettaGleanHubSpotAWSWabi

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
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
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
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
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
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
Jerome Leclanche
Co-Founder, Ingram Technologies