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How to integrate Pushover MCP with Mastra AI

Connect Mastra AI to Pushover MCP. Send device alert for server downtime, notify me of new support tickets, and more using natural language, with authentication handled for you.

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Pushover

Api Key

Pushover is a real-time notification service that sends messages to your devices via a simple API. It's perfect for instant alerts and staying on top of important events wherever you are.

29 Tools

Managed auth

Connect Pushover without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

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Explore the MCP Gateway

Introduction

This guide walks you through connecting Pushover to Mastra AI using the Composio tool router. By the end, you'll have a working Pushover agent that can send messages, manage delivery groups and team users, check receipt status, cancel retries, and check your app limits through natural language commands.

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

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

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Pushover with

Claude Code Claude Cowork OpenAI Agents SDK Claude Agent SDK Grok Bot Codex OpenClaw Hermes Atomic Agent Google ADK LangChain Vercel AI SDK LlamaIndex CrewAI Pydantic AI AutoGen

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

The Pushover MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Pushover account. It provides structured and secure access to your notification system, so your agent can send instant alerts, deliver custom messages, manage notification priorities, and automate device notifications on your behalf.

Instant push notifications: Have your agent send real-time alerts to your devices for important events, tasks, or reminders.
Custom message delivery: Allow your agent to craft and deliver personalized notifications with specific titles, messages, and sounds.
Priority and sound control: Let the agent set notification priority levels and choose custom sounds to ensure the right alerts stand out.
Device targeting: Direct your agent to send notifications to specific devices or user groups for tailored communication.
Automated workflow integration: Seamlessly trigger Pushover alerts from other automated tasks or events managed by your agent, keeping you informed in real-time.

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:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS

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

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 Pushover through MCP.

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

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

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

Create a Tool Router session for Pushover

typescript

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

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

What's happening:

create spins up a short-lived MCP HTTP endpoint for this user
The toolkits array contains "pushover" for Pushover access
session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

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 Pushover toolkit

Create the Mastra agent

typescript

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

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: {
        pushover: 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 Pushover 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 Pushover 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: ["pushover"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

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

Cancel Receipt Retries

Tool to cancel further retries for an emergency-priority message before its expiry.

Cancel Retries by Tag

Tool to cancel retries for all active emergency-priority Pushover messages matching a specific tag.

Client Acknowledge Delete Up To ID

Tool to delete/acknowledge device messages up to a specific message ID.

Fetch Pending Messages

Tool to download pending messages for a registered device.

Pushover Client Login

Tool to authenticate a Pushover user by email and password.

Client Realtime WebSocket Connection

Connect to the Pushover real-time WebSocket with a device ID and session secret, collect notification events, and return them when the connection closes or a terminating event occurs.

Tool to register an Open Client desktop device.

Get Application Icon Image

Tool to fetch an application icon PNG by icon identifier.

Get App Limits

Retrieve the current monthly message limit, remaining messages, and reset time using a Pushover application token.

Get Application Token

Return a Pushover application API token from the supplied token, available metadata, or environment variables.

Get Receipt Status

Tool to poll the status of an emergency-priority notification receipt.

Get Team API Token

Tool to fetch stored Pushover for Teams API token.

Glances Update

Tool to update a user's Glances widget data without sending a notification.

Add User to Group

Tool to add an existing Pushover user to a delivery group.

Create Group

Tool to create a new Delivery Group.

Disable Group User

Tool to temporarily disable deliveries to a user or specific device within a Pushover group.

Group Enable User

Tool to re-enable deliveries to a previously disabled user (or specific device) within a Pushover group.

Get Group Details

Tool to retrieve details for a Delivery Group.

List Delivery Groups

Tool to list all Delivery Groups.

Remove User from Group

Tool to remove a user (or optionally a specific device) from a Pushover delivery group.

Rename Delivery Group

Tool to rename an existing Delivery Group.

Assign License

Tool to assign a pre-paid license credit to a Pushover user by key or email.

Check License Credits

Tool to retrieve remaining license credits for a Pushover application.

Send Message

Send a Pushover push notification with optional title, URL, priority, sound, device targeting, and attachments.

Store Team API Token

Place a Pushover for Teams API token in the current execution metadata and return a success flag.

Subscription Flow

Check that a Pushover subscription code is nonempty and contains no whitespace, then return it.

Add Team User

Tool to add a user to a Pushover for Teams organization.

Remove User from Team

Tool to remove a user from a Pushover for Teams organization.

Validate User or Group

Tool to validate a Pushover user or group key for deliverability.

FRAMEWORKS

How to build Pushover MCP Agent with another framework

Claude Code

Use Pushover MCP with Claude Code

Claude Cowork

Use Pushover MCP with Claude Cowork

OpenAI Agents SDK

Use Pushover MCP with OpenAI Agents SDK

Claude Agent SDK

Use Pushover MCP with Claude Agent SDK

Grok Bot

Use Pushover MCP with Grok Bot

Codex

Use Pushover MCP with Codex

OpenClaw

Use Pushover MCP with OpenClaw

Hermes

Use Pushover MCP with Hermes

Atomic Agent

Use Pushover MCP with Atomic Agent

Google ADK

Use Pushover MCP with Google ADK

LangChain

Use Pushover MCP with LangChain

Vercel AI SDK

Use Pushover MCP with Vercel AI SDK

LlamaIndex

Use Pushover MCP with LlamaIndex

CrewAI

Use Pushover MCP with CrewAI

Pydantic AI

Use Pushover MCP with Pydantic AI

AutoGen

Use Pushover MCP with AutoGen

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Gmail

Oauth2

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

Oauth2S2s Oauth2

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.

Slack

Oauth2

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.

Gong

BasicOauth2

Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.

FAQ

Frequently asked questions

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

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

Start with Pushover.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Pushover tool your agent needs.Free to start.

Start building

How to integrate Pushover MCP with Mastra AI

Connect Pushover without auth hassles

Introduction

Also integrate Pushover with

TL;DR

What is Mastra AI?

What is the Pushover MCP server, and what's possible with it?

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import libraries and validate environment

Create a Tool Router session for Pushover

Configure Mastra MCP client and fetch tools

Create the Mastra agent

Set up interactive chat interface

Complete Code

Conclusion

Supported Tools

How to build Pushover MCP Agent with another framework

Claude Code

Claude Cowork

OpenAI Agents SDK

Claude Agent SDK

Grok Bot

Codex

OpenClaw

Hermes

Atomic Agent

Google ADK

LangChain

Vercel AI SDK

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Gmail

Outlook

Slack

Gong

Frequently asked questions

What are the differences in Tool Router MCP and Pushover MCP?

Can I use Tool Router MCP with Mastra AI?

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

How safe is my data with Composio Tool Router?

Start with Pushover.It takes 30 seconds.