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How to integrate Pushover MCP with Pydantic AI

Connect Pydantic 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 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 Pydantic 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 Pydantic 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.

Also integrate Pushover with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKGrok BotCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIAutoGen

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Pushover
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Pushover workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active 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

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Pushover
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Pushover
  • MCPServerStreamableHTTP connects to the Pushover MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Pushover
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["pushover"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
pushover_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[pushover_mcp],
    instructions=(
        "You are a Pushover assistant. Use Pushover tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Pushover endpoint
  • The agent uses GPT-5 to interpret user commands and perform Pushover operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Pushover.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Pushover API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Pushover
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["pushover"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    pushover_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[pushover_mcp],
        instructions=(
            "You are a Pushover assistant. Use Pushover tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Pushover.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Pushover through Composio's Tool Router. With this setup, your agent can perform real Pushover actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Pushover for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
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.

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

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 logo

Claude Code

Use Pushover MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Pushover MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Pushover MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Pushover MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Pushover MCP with Grok Bot

Codex logo

Codex

Use Pushover MCP with Codex

OpenClaw logo

OpenClaw

Use Pushover MCP with OpenClaw

Hermes logo

Hermes

Use Pushover MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Pushover MCP with Atomic Agent

Google ADK logo

Google ADK

Use Pushover MCP with Google ADK

LangChain logo

LangChain

Use Pushover MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Pushover MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Pushover MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Pushover MCP with LlamaIndex

CrewAI logo

CrewAI

Use Pushover MCP with CrewAI

AutoGen logo

AutoGen

Use Pushover MCP with AutoGen

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. Pydantic 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.

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