# How to integrate Pushover MCP with Autogen

```json
{
  "title": "How to integrate Pushover MCP with Autogen",
  "toolkit": "Pushover",
  "toolkit_slug": "pushover",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/pushover/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/pushover/framework/autogen.md",
  "updated_at": "2026-05-12T10:23:05.620Z"
}
```

## Introduction

This guide walks you through connecting Pushover to AutoGen 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 AutoGen 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/pushover/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/pushover/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/pushover/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/pushover/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/pushover/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/pushover/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/pushover/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/pushover/framework/cli)
- [Google ADK](https://composio.dev/toolkits/pushover/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/pushover/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/pushover/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/pushover/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/pushover/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/pushover/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Pushover
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Pushover tools
- Run a live chat loop where you ask the agent to perform Pushover operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PUSHOVER_CANCEL_RECEIPT_RETRIES` | Cancel Receipt Retries | Tool to cancel further retries for an emergency-priority message before its expiry. Use when you no longer want Pushover to keep attempting delivery of an urgent notification. |
| `PUSHOVER_CANCEL_RETRIES_BY_TAG` | Cancel Retries by Tag | Tool to cancel retries for all active emergency-priority Pushover messages matching a specific tag. Use after sending emergency messages when you want to stop further retries for a given tag. |
| `PUSHOVER_CLIENT_ACK_DELETE_UP_TO_ID` | Client Acknowledge Delete Up To ID | Tool to delete/acknowledge device messages up to a specific message ID. Use when you want to clear all messages up to a known ID; call after retrieving the latest message ID. |
| `PUSHOVER_CLIENT_FETCH_MESSAGES` | Fetch Pending Messages | Tool to download pending messages for a registered device. Use after device registration to retrieve messages queued server-side. |
| `PUSHOVER_CLIENT_LOGIN` | Pushover Client Login | Tool to authenticate a Pushover user by email and password. Use when you need to obtain a user key and session secret. Include twofa code if prompted by a prior HTTP 412 response. |
| `PUSHOVER_CLIENT_REALTIME_WEBSOCKET` | Client Realtime WebSocket Connection | Tool to establish a secure WebSocket connection for real-time message notifications. Use after obtaining device ID and secret to receive instant push events. |
| `PUSHOVER_CLIENT_REGISTER_DEVICE` | Register Open Client Device | Tool to register an Open Client desktop device. Use when you have a session secret from users/login to obtain a device ID. |
| `PUSHOVER_GET_APP_ICON_IMAGE` | Get Application Icon Image | Tool to fetch an application icon PNG by icon identifier. Use when you need to retrieve and cache the Pushover app icon image. |
| `PUSHOVER_GET_APP_LIMITS` | Get App Limits | Tool to retrieve the current monthly message limit, remaining messages, and reset time for a Pushover application. Use when monitoring your monthly quota before sending messages. |
| `PUSHOVER_GET_APP_TOKEN` | Get Application Token | Tool to fetch stored Pushover application API token. Use when supplying credentials to other Pushover actions securely. |
| `PUSHOVER_GET_RECEIPT_STATUS` | Get Receipt Status | Tool to poll the status of an emergency-priority notification receipt. Use after sending an emergency notification to check its delivery and acknowledgment. Use when you have the `receipt` from an emergency-priority message and need to track its retries and acknowledgment status. |
| `PUSHOVER_GET_TEAM_API_TOKEN` | Get Team API Token | Tool to fetch stored Pushover for Teams API token. Use when supplying team credentials to other Pushover Teams actions securely. |
| `PUSHOVER_GLANCES_UPDATE` | Glances Update | Tool to update a user's Glances widget data without sending a notification. Use after preparing glance data fields: title, text, subtext, count, or percent. |
| `PUSHOVER_GROUP_ADD_USER` | Add User to Group | Tool to add an existing Pushover user to a delivery group. Use when you need to include a user in a group by their user key. |
| `PUSHOVER_GROUP_CREATE` | Create Group | Tool to create a new Delivery Group. Use when you need to group multiple recipients under one group key before sending notifications. |
| `PUSHOVER_GROUP_DISABLE_USER` | Disable Group User | Tool to temporarily disable deliveries to a user or specific device within a Pushover group. Use when suspending notifications for a user (or device) in an active group. |
| `PUSHOVER_GROUP_ENABLE_USER` | Group Enable User | Tool to re-enable deliveries to a previously disabled user (or specific device) within a Pushover group. Use after disabling a user's or device's notifications to restore delivery. |
| `PUSHOVER_GROUP_GET` | Get Group Details | Tool to retrieve details for a Delivery Group. Use when you need to fetch a group's name and member list. |
| `PUSHOVER_GROUP_LIST` | List Delivery Groups | Tool to list all Delivery Groups. Use when you need to retrieve your account's delivery groups after obtaining a valid API token. |
| `PUSHOVER_GROUP_REMOVE_USER` | Remove User from Group | Tool to remove a user (or optionally a specific device) from a Pushover delivery group. Use when you need to revoke a user's membership so they stop receiving group notifications. |
| `PUSHOVER_GROUP_RENAME` | Rename Delivery Group | Tool to rename an existing Delivery Group. Use after confirming the group_key to update a group's name. |
| `PUSHOVER_LICENSE_ASSIGN` | Assign License | Tool to assign a pre-paid license credit to a Pushover user by key or email. Use when you need to allocate a license and optionally restrict to a specific platform. |
| `PUSHOVER_LICENSE_CHECK_CREDITS` | Check License Credits | Tool to retrieve remaining license credits for a Pushover application. Use when monitoring your licensing quota before assigning new licenses. |
| `PUSHOVER_SEND_MESSAGE` | Send Message | Tool to send a push notification with optional title, URL, priority, sound, attachments, and filters. |
| `PUSHOVER_STORE_TEAM_API_TOKEN` | Store Team API Token | Tool to securely store a Pushover for Teams API token. Use after obtaining a team API token to enable subsequent Teams actions. |
| `PUSHOVER_SUBSCRIPTION_FLOW` | Subscription Flow | Tool to validate and return a Pushover subscription code. Use when Pushover does not support programmatic subscription creation and you need to confirm your code before redirecting users. |
| `PUSHOVER_TEAMS_ADD_USER` | Add Team User | Tool to add a user to a Pushover for Teams organization. Use when inviting a user with optional admin rights, instant login link, or custom delivery group. |
| `PUSHOVER_TEAMS_REMOVE_USER` | Remove User from Team | Tool to remove a user from a Pushover for Teams organization. Use when you need to revoke a user's access after confirming their email should be removed from the team. |
| `PUSHOVER_VALIDATE_USER_OR_GROUP` | Validate User or Group | Tool to validate a Pushover user or group key for deliverability. Use before sending notifications to ensure the key (and optional device) is valid and has active devices. |

## Supported Triggers

None listed.

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

The Pushover MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Pushover. Instead of manually wiring Pushover APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Pushover account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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'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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Pushover via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Pushover connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Pushover tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Pushover session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["pushover"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Pushover tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Pushover assistant agent with MCP tools
    agent = AssistantAgent(
        name="pushover_assistant",
        description="An AI assistant that helps with Pushover operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Pushover tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Pushover related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Pushover session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["pushover"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Pushover assistant agent with MCP tools
        agent = AssistantAgent(
            name="pushover_assistant",
            description="An AI assistant that helps with Pushover operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

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

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

## Conclusion

You now have an Autogen assistant wired into Pushover through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Pushover, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Pushover MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/pushover/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/pushover/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/pushover/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/pushover/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/pushover/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/pushover/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/pushover/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/pushover/framework/cli)
- [Google ADK](https://composio.dev/toolkits/pushover/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/pushover/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/pushover/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/pushover/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/pushover/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/pushover/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.
- [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.
- [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.
- [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.
- [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.
- [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.
- [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.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Chatwork](https://composio.dev/toolkits/chatwork) - Chatwork is a team communication platform with group chats, file sharing, and task management. It helps businesses boost collaboration and streamline productivity.
- [Clickmeeting](https://composio.dev/toolkits/clickmeeting) - ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease.
- [Confluence](https://composio.dev/toolkits/confluence) - Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace.
- [Dailybot](https://composio.dev/toolkits/dailybot) - DailyBot streamlines team collaboration with chat-based standups, reminders, and polls. It keeps work flowing smoothly in your favorite messaging platforms.
- [Dialmycalls](https://composio.dev/toolkits/dialmycalls) - Dialmycalls is a mass notification service for sending voice and text messages to contacts. It helps teams and organizations quickly broadcast urgent alerts and updates.
- [Dialpad](https://composio.dev/toolkits/dialpad) - Dialpad is a cloud-based business phone and contact center system for teams. It unifies voice, video, messaging, and meetings across your devices.
- [Discord](https://composio.dev/toolkits/discord) - Discord is a real-time messaging and VoIP platform for communities and teams. It lets users chat, share media, and collaborate across public and private channels.
- [Discordbot](https://composio.dev/toolkits/discordbot) - Discordbot is an automation tool for Discord servers that handles moderation, messaging, and user engagement. It helps communities run smoothly by automating routine and complex tasks.
- [Echtpost](https://composio.dev/toolkits/echtpost) - Echtpost is a secure digital communication platform for encrypted document and message exchange. It ensures confidential data stays private and protected during transmission.
- [Egnyte](https://composio.dev/toolkits/egnyte) - Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security.
- [Google Meet](https://composio.dev/toolkits/googlemeet) - Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere.

## Frequently Asked Questions

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

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.

### Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen 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.

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

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.

### 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 Pushover data and credentials are handled as safely as possible.

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