# How to integrate Heartbeat MCP with Mastra AI

```json
{
  "title": "How to integrate Heartbeat MCP with Mastra AI",
  "toolkit": "Heartbeat",
  "toolkit_slug": "heartbeat",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/heartbeat/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/heartbeat/framework/mastra-ai.md",
  "updated_at": "2026-03-29T06:37:10.262Z"
}
```

## Introduction

This guide walks you through connecting Heartbeat to Mastra AI using the Composio tool router. By the end, you'll have a working Heartbeat agent that can list all upcoming heartbeat community events, post a message in #general channel, get member count for each heartbeat channel through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Heartbeat account through Composio's Heartbeat MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Heartbeat with

- [ChatGPT](https://composio.dev/toolkits/heartbeat/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/heartbeat/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/heartbeat/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/heartbeat/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/heartbeat/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/heartbeat/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/heartbeat/framework/codex)
- [Cursor](https://composio.dev/toolkits/heartbeat/framework/cursor)
- [VS Code](https://composio.dev/toolkits/heartbeat/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/heartbeat/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/heartbeat/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/heartbeat/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/heartbeat/framework/cli)
- [Google ADK](https://composio.dev/toolkits/heartbeat/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/heartbeat/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/heartbeat/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/heartbeat/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/heartbeat/framework/crew-ai)

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

The Heartbeat MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Heartbeat account. It provides structured and secure access so your agent can perform Heartbeat operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HEARTBEAT_GET_EVENTS` | Get Events | Tool to retrieve event information from the community. Use when you need to list events with optional pagination support. |
| `HEARTBEAT_LIST_CHANNELS` | List channels | Tool to retrieve a paginated list of channels in the community. Use when you need to list, browse, or search for channels in the Heartbeat community. Supports filtering by archived status, channel type, and pagination. |
| `HEARTBEAT_LIST_GROUPS` | List Groups | Tool to retrieve a paginated list of access groups in the community. Use when you need to browse groups with optional filters for parent groups or user membership. Supports cursor-based pagination. |
| `HEARTBEAT_LIST_USERS` | List Users | Tool to retrieve a paginated list of users in the Heartbeat community. Use when you need to get user information with optional filtering by creation date, group membership, or role. |
| `HEARTBEAT_REACTIVATE_USER` | Reactivate User | Tool to reactivate a previously deleted user by email to allow them to access the community again. Use when you need to restore access for a user who was previously removed. |
| `HEARTBEAT_RETRIEVE_GROUP` | Retrieve Group | Tool to retrieve a single group by its ID. Use when you need to get detailed information about a specific group in the Heartbeat community. |
| `HEARTBEAT_RETRIEVE_USER` | Retrieve User | Tool to retrieve a single user by their ID. Use when you need to get detailed information about a specific user in the Heartbeat community. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Heartbeat MCP server is an implementation of the Model Context Protocol that connects your AI agent to Heartbeat. It provides structured and secure access so your agent can perform Heartbeat operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Heartbeat through MCP.

### 2. Install dependencies

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

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
```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,
});
```

### 5. Create a Tool Router session for Heartbeat

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "heartbeat" for Heartbeat access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["heartbeat"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Heartbeat MCP URL:", composioMCPUrl);
```

### 6. Configure Mastra MCP client and fetch tools

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 Heartbeat toolkit
```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);
```

### 7. Create the Mastra agent

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

### 8. Set up interactive chat interface

What's happening:
- messages keeps the full conversation history in Mastra's expected format
- agent.generate runs the agent with conversation history and Heartbeat 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
```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: {
        heartbeat: 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);
});
```

## Complete Code

```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: ["heartbeat"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "heartbeat-mastra-agent",
    instructions: "You are an AI agent with Heartbeat 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: { heartbeat: 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 Heartbeat 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

## How to build Heartbeat MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/heartbeat/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/heartbeat/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/heartbeat/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/heartbeat/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/heartbeat/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/heartbeat/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/heartbeat/framework/codex)
- [Cursor](https://composio.dev/toolkits/heartbeat/framework/cursor)
- [VS Code](https://composio.dev/toolkits/heartbeat/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/heartbeat/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/heartbeat/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/heartbeat/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/heartbeat/framework/cli)
- [Google ADK](https://composio.dev/toolkits/heartbeat/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/heartbeat/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/heartbeat/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/heartbeat/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/heartbeat/framework/crew-ai)

## Related Toolkits

- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Heartbeat MCP?

With a standalone Heartbeat MCP server, the agents and LLMs can only access a fixed set of Heartbeat tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Heartbeat and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Mastra AI?

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 Heartbeat tools.

### Can I manage the permissions and scopes for Heartbeat while using Tool Router?

Yes, absolutely. You can configure which Heartbeat 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.

### How safe is my data with Composio Tool Router?

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 Heartbeat data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
