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How to integrate Supportbee MCP with Pydantic AI

Connect Pydantic AI to Supportbee MCP. Archive all tickets resolved this week, assign new tickets to the support team, and more using natural language, with authentication handled for you.

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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 Pydantic AI using the Composio tool router. By the end, you'll have a working Supportbee agent that can create and reply to tickets, assign tickets to teams, label and archive tickets, manage snippets, and check response time reports through natural language commands.

This guide will help you understand how to give your Pydantic AI 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

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIAutoGen

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Supportbee
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Supportbee workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Supportbee
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
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

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Supportbee
  • MCPServerStreamableHTTP connects to the Supportbee MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Supportbee
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["supportbee"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Supportbee tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
supportbee_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[supportbee_mcp],
    instructions=(
        "You are a Supportbee assistant. Use Supportbee tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Supportbee endpoint
  • The agent uses GPT-5 to interpret user commands and perform Supportbee operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Supportbee.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Supportbee API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Supportbee
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["supportbee"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    supportbee_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[supportbee_mcp],
        instructions=(
            "You are a Supportbee assistant. Use Supportbee tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Supportbee.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Supportbee through Composio's Tool Router. With this setup, your agent can perform real Supportbee actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Supportbee for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
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 SupportBee filter by linking an existing rule with a consequence.

Create Rule

Submits a SupportBee automation rule with conditions and action entries and returns the rule ID.

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

Retrieves the company's forwarding email addresses configured in SupportBee.

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

Requests a SupportBee ticket count report for a specified date range, with optional agent, team, and label parameters.

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

Lists SupportBee users or customer groups, with options to select the type and include invited agents.

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

Requests a specific SupportBee ticket reply by ticket and reply IDs.

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 SupportBee snippet (canned response) by ID.

Update SupportBee User

Update an existing SupportBee user's name, email, role, avatar, or signature by ID.

FRAMEWORKS

How to build Supportbee MCP Agent with another framework

Claude Code logo

Claude Code

Use Supportbee MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Supportbee MCP with Claude Cowork

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

Codex logo

Codex

Use Supportbee MCP with Codex

OpenClaw logo

OpenClaw

Use Supportbee MCP with OpenClaw

Hermes logo

Hermes

Use Supportbee MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Supportbee MCP with Atomic Agent

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

AutoGen logo

AutoGen

Use Supportbee MCP with AutoGen

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. Pydantic AI 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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