How to integrate Pushover MCP with LangChain

This guide walks you through connecting Pushover to LangChain using the Composio tool router. By the end, you'll have a working Pushover agent that can send device alert for server downtime, notify me of new support tickets, push daily summary to your phone through natural language commands. This guide will help you understand how to give your LangChain 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.

Pushover logoPushover
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

Introduction

This guide walks you through connecting Pushover to LangChain using the Composio tool router. By the end, you'll have a working Pushover agent that can send device alert for server downtime, notify me of new support tickets, push daily summary to your phone through natural language commands.

This guide will help you understand how to give your LangChain 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.

Also integrate Pushover with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Pushover project to Composio
  • Create a Tool Router MCP session for Pushover
  • Initialize an MCP client and retrieve Pushover tools
  • Build a LangChain agent that can interact with Pushover
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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:

  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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI 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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Pushover functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Pushover tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['pushover']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Pushover 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
  • This approach allows the agent to dynamically load and use Pushover tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "pushover-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Pushover MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Pushover tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Pushover related question or task to the agent.\n");

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

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;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Pushover and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['pushover']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "pushover-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Pushover related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    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;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Pushover through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-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

Tool to establish a secure WebSocket connection for real-time message notifications.

Register Open Client Device

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

Tool to retrieve the current monthly message limit, remaining messages, and reset time for a Pushover application.

Get Application Token

Tool to fetch stored Pushover application API token.

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

Tool to send a push notification with optional title, URL, priority, sound, attachments, and filters.

Store Team API Token

Tool to securely store a Pushover for Teams API token.

Subscription Flow

Tool to validate and return a Pushover subscription code.

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.

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. LangChain 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.

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