Pushover MCP Server

Pushover MCP – A Seamless Notification Bridge for AI Assistants

The Pushover MCP solves the common problem of delivering real‑time alerts from AI agents to end users or developers. In many workflows, an assistant may need to notify a user of a critical event—such as a failed build, a new data update, or an emergency warning—but the assistant itself has no built‑in mechanism to push messages to mobile devices. By exposing a lightweight MCP server that speaks the standard Model Context Protocol, Pushover MCP allows any MCP‑compatible AI (Claude, Cursor, Roo Code, etc.) to send push notifications through the Pushover service with minimal friction.

At its core, the server implements a single tool named . The tool accepts a concise JSON payload describing the notification: message text, optional title, priority level (ranging from -2 to 2), custom sound, URL attachment, and device targeting. When an AI agent invokes this tool, the MCP server translates the call into a Pushover API request and delivers the message to the configured user key. This abstraction keeps agent code clean while leveraging Pushover’s reliable delivery, multi‑device support, and priority handling.

Key features include:

• Priority control: Send routine updates at normal priority or elevate to emergency for urgent alerts.
• Device targeting: Direct messages to specific phones, tablets, or desktops registered with Pushover.
• Rich content: Attach URLs and custom sounds to provide context and improve visibility.
• Approval workflow: By default, agents request user confirmation before sending, but developers can enable an auto‑send mode for critical systems.

Typical use cases span automated monitoring (e.g., CI/CD pipelines that notify developers of build failures), personal productivity tools (AI assistants reminding users of deadlines), and IoT integrations where an AI reacts to sensor data by pushing alerts. In each scenario, the MCP server removes the need for custom webhook endpoints or SDKs; the AI simply calls with the desired parameters, and the notification is dispatched instantly.

Integrating Pushover MCP into an AI workflow is straightforward. Developers add the server’s command or configuration to their IDE (Cursor, Roo Code) or install it via Smithery for Claude Desktop. Once registered, the tool appears in the agent’s available tools list and can be invoked implicitly or explicitly. This tight coupling ensures that notification logic remains part of the AI’s decision tree, enabling dynamic, context‑aware alerting without manual scripting.