How to integrate HelpSpot MCP with Mastra AI

This guide walks you through connecting HelpSpot to Mastra AI using the Composio tool router. By the end, you'll have a working HelpSpot agent that can create support requests, search your tickets, update requests, run filters, and manage subscriptions through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a HelpSpot account through Composio's HelpSpot 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
HelpSpot logoHelpSpot
Api Key

HelpSpot is a customer support platform for managing help desk requests, staff workflows, time tracking, and reports. It helps support teams organize customer issues, reuse saved responses, and keep service work visible.

10 Tools

Introduction

This guide walks you through connecting HelpSpot to Mastra AI using the Composio tool router. By the end, you'll have a working HelpSpot agent that can create support requests, search your tickets, update requests, run filters, and manage subscriptions through natural language commands.

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

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

Also integrate HelpSpot with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAI

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 HelpSpot tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch HelpSpot 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 HelpSpot 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 HelpSpot MCP server, and what's possible with it?

The HelpSpot MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your HelpSpot account. It provides structured and secure access to support requests, queues, saved responses, and help desk settings, so your agent can create requests, find cases, update tickets, review queues, and manage subscriptions on your behalf.

  • Support request creation: Have your agent create a support request with an initial customer-visible response or an internal note.
  • Request search and review: Instruct your agent to find requests by text, customer, status, assignment, or date, then retrieve their history and tracked time.
  • Ticket updates and follow-ups: Direct your agent to update customer details, assignments, categories, or status, and add customer-visible replies or internal notes.
  • Queue and response management: Let the agent review saved and built-in queues, check matching requests, and find reusable response templates.
  • Help desk context and notifications: Have your agent review available routing and status options, check the connected staff profile, and subscribe or unsubscribe staff from request updates.

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 HelpSpot 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 HelpSpot

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

  const composioMCPUrl = session.mcp.url;
  console.log("HelpSpot MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "help_spot" for HelpSpot 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 HelpSpot toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "help_spot-mastra-agent",
    instructions: "You are an AI agent with HelpSpot 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: {
        help_spot: 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 HelpSpot 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 HelpSpot 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: ["help_spot"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "help_spot-mastra-agent",
    instructions: "You are an AI agent with HelpSpot 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: { help_spot: 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 HelpSpot 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 HelpSpot action and event your agent gets out of the box.

Create Request

Create a staff-side support request with an initial customer-visible or internal note.

Get Current User

Return the connected HelpSpot staff user's identity, defaults, and support capabilities without authentication tokens.

Get Request

Return one support request with normalized history and optional time total; fail clearly when HelpSpot returns its sparse HTTP-200 missing-request shape.

List Filters

List the connected staff user's saved and built-in queue filters, including symbolic selectors such as inbox and myq.

List Saved Responses

List reusable response templates available to the connected staff user, either all templates or the user's ten most-used templates.

List Support Options

List IDs and labels used to categorize, assign, route, or set the status of HelpSpot requests.

Run Filter

Return one cursor-controlled page of request summaries from a saved or built-in HelpSpot queue filter.

Search Requests

Search support requests by text, customer, state, assignment, or date and return one concise cursor-controlled page.

Set Request Subscription

Subscribe or unsubscribe a staff user from updates to one support request.

Update Request

Update request, customer, assignment, and state fields and optionally append one customer-visible or internal note.

FRAMEWORKS

How to build HelpSpot MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use HelpSpot MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use HelpSpot MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use HelpSpot MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use HelpSpot MCP with Claude Cowork

Codex logo

Codex

Use HelpSpot MCP with Codex

OpenClaw logo

OpenClaw

Use HelpSpot MCP with OpenClaw

Hermes logo

Hermes

Use HelpSpot MCP with Hermes

CLI logo

CLI

Use HelpSpot MCP with CLI

Google ADK logo

Google ADK

Use HelpSpot MCP with Google ADK

LangChain logo

LangChain

Use HelpSpot MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use HelpSpot MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use HelpSpot MCP with LlamaIndex

CrewAI logo

CrewAI

Use HelpSpot MCP with CrewAI

FAQ

Frequently asked questions

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

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

Start with HelpSpot.It takes 30 seconds.

Managed auth, hosted MCP servers, and every HelpSpot 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