How to integrate Supportbee MCP with CrewAI

This guide walks you through connecting Supportbee to CrewAI 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 CrewAI 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.

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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 CrewAI 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 CrewAI 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 AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Supportbee connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Supportbee
  • Build a conversational loop where your agent can execute Supportbee operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Supportbee connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Supportbee via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Supportbee MCP URL
6

Create a Composio Tool Router session for Supportbee

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["supportbee"])

url = session.mcp.url
What's happening:
  • You create a Supportbee only session through Composio
  • Composio returns an MCP HTTP URL that exposes Supportbee tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Supportbee and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["supportbee"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

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

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Supportbee through Composio's Tool Router. The agent can perform Supportbee operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
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

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. CrewAI 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.

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