How to integrate FuseDesk MCP with Mastra AI

This guide walks you through connecting FuseDesk to Mastra 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 Mastra 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 Mastra 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 Mastra 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.

Also integrate FuseDesk with

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes FuseDesk tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch FuseDesk tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your FuseDesk agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach FuseDesk through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_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 your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for FuseDesk

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["fusedesk"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("FuseDesk MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "fusedesk" for FuseDesk access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the FuseDesk toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "fusedesk-mastra-agent",
    instructions: "You are an AI agent with FuseDesk tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

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

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        fusedesk: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and FuseDesk toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with FuseDesk and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["fusedesk"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      fusedesk: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "fusedesk-mastra-agent",
    instructions: "You are an AI agent with FuseDesk tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { fusedesk: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with FuseDesk through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
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. Mastra 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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