How to integrate FuseDesk MCP with Pydantic AI

This guide walks you through connecting FuseDesk to Pydantic AI using the Composio tool router. By the end, you'll have a working FuseDesk agent that can create support cases, view case details, add case notes, tag cases, and merge duplicate cases through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a FuseDesk account through Composio's FuseDesk MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

FuseDesk logoFuseDesk
Api Key

FuseDesk is a customer support platform for managing cases, email conversations, contacts, departments, representatives, chats, and webhooks. It helps support teams keep customer conversations organized so issues get routed, tracked, and resolved faster.

27 Tools

Introduction

This guide walks you through connecting FuseDesk to Pydantic AI using the Composio tool router. By the end, you'll have a working FuseDesk agent that can create support cases, view case details, add case notes, tag cases, and merge duplicate cases through natural language commands.

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

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

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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 FuseDesk
  • 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 FuseDesk 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 FuseDesk MCP server, and what's possible with it?

The FuseDesk MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your FuseDesk account. It provides structured and secure access to support cases, email conversations, contacts, departments, representatives, chats, and webhooks, so your agent can create and update cases, reply to customers, manage contacts, monitor chats, and review support activity on your behalf.

  • Case creation and management: Have your agent open support cases, update their content or status, change tags, add internal notes, snooze follow-ups, and merge related cases.
  • Customer replies and email review: Let the agent search support emails, read complete messages, and send replies to customers from the appropriate case.
  • Contact and team coordination: Direct your agent to create, find, and update contacts, review departments, and check representative profiles when deciding where work belongs.
  • Chat monitoring and handling: Instruct your agent to list active chats, read conversation histories, transfer or rename chats, mark them seen or unseen, and close completed conversations.
  • Support oversight and automation review: Have your agent search cases by customer, assignment, status, text, or date, apply bulk changes, review case tags, and list configured webhook subscriptions.

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 FuseDesk
  • 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 FuseDesk
  • MCPServerStreamableHTTP connects to the FuseDesk 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 FuseDesk
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["fusedesk"],
    )
    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 FuseDesk 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
fusedesk_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[fusedesk_mcp],
    instructions=(
        "You are a FuseDesk assistant. Use FuseDesk tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the FuseDesk endpoint
  • The agent uses GPT-5 to interpret user commands and perform FuseDesk 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 FuseDesk.\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
  • FuseDesk 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 FuseDesk 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 FuseDesk
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["fusedesk"],
    )
    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
    fusedesk_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[fusedesk_mcp],
        instructions=(
            "You are a FuseDesk assistant. Use FuseDesk 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 FuseDesk.\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 FuseDesk through Composio's Tool Router. With this setup, your agent can perform real FuseDesk 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 + FuseDesk 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 FuseDesk action and event your agent gets out of the box.

Add Case Note

Add an internal note or call record to a case and optionally change its status.

Bulk Merge Cases

Irreversibly merge multiple FuseDesk cases.

Bulk Update Cases

Apply an assignment, department, status, tag, CRM automation, CRM tag, or snooze operation to multiple FuseDesk cases.

Change Case Tag

Apply or remove one existing case tag from one FuseDesk case.

Close Chat

Irreversibly close a FuseDesk chat and end the live conversation.

Create Case

Open a support case for a customer in a FuseDesk department.

Create Case Tag

Create a reusable FuseDesk case tag.

Create Contact

Create a FuseDesk contact.

Get Case

Get one FuseDesk support case and its complete history by case ID.

Get Chat

Get one FuseDesk chat and its complete message history by chat UUID.

Get Contact

Get a FuseDesk contact by UUID, including current data from its linked CRM contact.

Get Department

Get a FuseDesk department's assignment, template, staleness, feedback, phone, and archive settings by department ID.

Get Email

Get one FuseDesk email by its numeric ID, including its complete body.

Get Rep

Get a FuseDesk rep's detailed profile, permissions, and signatures.

List Case Tags

List available FuseDesk case tags and their case counts.

List Chats

List active FuseDesk chats across connected chat platforms, including assignment links, recent-message context, and lifecycle state.

List Departments

List active, archived, or all FuseDesk departments using the current v2 representation.

List Reps

List active and disabled FuseDesk reps for assignment and ownership decisions.

List Webhooks

List configured FuseDesk webhook subscriptions.

Reply To Case

Send an external email reply on a FuseDesk case using supplied content or an existing reply template.

Search Cases

Search support cases by customer, assignment, status, text, and lifecycle dates, returning one controllable page.

Search Contacts

Search FuseDesk and linked CRM contacts by required text.

Search Emails

Search all or only unassigned FuseDesk emails, returning one controllable page with optionally truncated bodies.

Snooze Case

Snooze a case until an absolute date/time or FuseDesk relative-time expression.

Update Case

Change a case's content, customer link, assignment, department, or status.

Update Chat

Rename, transfer, relink, or mark a live FuseDesk chat seen or unseen.

Update Contact

Update a FuseDesk contact.

FAQ

Frequently asked questions

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

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

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