Pushover MCP Server

What does “Pushover” MCP Server do?

Pushover MCP is a Model Context Protocol (MCP) server that enables AI agents to send notifications via Pushover.net. By implementing the MCP specification, the Pushover MCP server acts as a bridge between AI assistants and the Pushover notification platform. This integration allows developers and AI-driven workflows to trigger real-time notifications to users or devices through simple, standardized MCP tool calls. Typical use cases include alerting users to important events, sending reminders, and integrating notification flows into automated development or monitoring systems. With Pushover MCP, AI clients gain programmatic access to push notifications, enhancing the ability to keep users informed and responsive within broader AI-driven automation or assistance workflows.

List of Prompts

No prompt templates are mentioned in the repository or documentation.

List of Resources

No specific MCP resources are documented in the repository.

List of Tools

• send
  Sends a notification via Pushover with customizable options such as message body, title, priority, sound, URL, URL title, and target device.

  {
    "name": "send",
    "params": {
      "message": "Hello from AI",
      "title": "AI Notification",
      "priority": 1
    }
  }
  

Use Cases of this MCP Server

• AI-powered Notification Delivery
  Seamlessly send real-time notifications to users from AI agents for alerts, reminders, or workflow updates, ensuring important information is delivered instantly.
• Automated Monitoring Alerts
  Integrate with monitoring systems to automatically notify users of system events or issues via push notifications, enabling quick response.
• Workflow Completion Updates
  Notify users upon completion of long-running tasks or processes, keeping stakeholders informed without requiring manual checks.
• Personal Reminders and Task Management
  Allow AI assistants to send personal reminders, deadlines, or task notifications, improving productivity and organization.

How to set it up

Windsurf

No specific Windsurf setup instructions are provided in the documentation.

Claude

No specific Claude setup instructions are provided in the documentation.

Cursor

Method 1: Install Globally

1. Ensure you have Node.js installed.

2. Obtain your application token and user key from your Pushover.net dashboard.

3. Run the MCP server using npx:

   npx -y pushover-mcp@latest start --token YOUR_TOKEN --user YOUR_USER
   

4. In Cursor IDE, go to Cursor Settings > MCP.

5. Click + Add New MCP Server and fill in:

   • Name: Pushover Notification
   • Type: command
   • Command: npx -y pushover-mcp@latest start --token YOUR_TOKEN --user YOUR_USER

Method 2: Project-specific Configuration

1. Create a .cursor/mcp.json file in your project.

2. Add the following JSON:

   {
     "mcpServers": {
       "pushover": {
         "command": "npx",
         "args": [
           "-y",
           "pushover-mcp@latest",
           "start",
           "--token",
           "YOUR_TOKEN",
           "--user",
           "YOUR_USER"
         ]
       }
     }
   }
   

3. Save the file and restart Cursor if necessary.

4. The tool will then appear under Available Tools in MCP settings.

Cline

No specific Cline setup instructions are provided in the documentation.

Securing API Keys with Environment Variables

No explicit environment variable usage is documented, but you may structure your configuration as follows for security:

{
  "mcpServers": {
    "pushover": {
      "command": "npx",
      "args": [
        "-y",
        "pushover-mcp@latest",
        "start"
      ],
      "env": {
        "PUSHOVER_TOKEN": "YOUR_TOKEN",
        "PUSHOVER_USER": "YOUR_USER"
      },
      "inputs": {
        "token": "${env:PUSHOVER_TOKEN}",
        "user": "${env:PUSHOVER_USER}"
      }
    }
  }
}

Replace "YOUR_TOKEN" and "YOUR_USER" with your actual environment variables.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "pushover-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change "pushover-mcp" to whatever the actual name of your MCP server is (e.g., "pushover-mcp") and replace the URL with your own MCP server URL.

Overview

Our opinion

Pushover MCP is a focused, simple MCP implementation for notification delivery. While it offers a clear tool and easy integration, it lacks advanced MCP features like resources, prompts, roots, and sampling. It is best suited for straightforward notification workflows.

MCP Score