ntfy-mcp

The Ntfy MCP Server bridges the gap between AI assistants and real‑world notification workflows by exposing the lightweight, HTTP‑based ntfy push service through the Model Context Protocol (MCP). Developers building autonomous agents or chat‑based workflows often need to alert users, log events, or trigger actions on mobile devices without exposing raw HTTP endpoints. This server solves that problem by presenting a single, well‑defined MCP tool——that encapsulates all of ntfy’s rich feature set behind a secure, typed interface.

At its core, the server implements MCP 1.8.0 using the official SDK, ensuring that any MCP‑compatible client (Claude Desktop, Cline, or custom agents) can discover and invoke its capabilities with minimal friction. When an LLM agent calls the tool, the server translates the request into a properly authenticated HTTP call to ntfy, handling all edge cases such as message prioritization, emoji tags, Markdown formatting, and even file attachments. The server also exposes the default ntfy topic as an MCP resource, allowing agents to reference it directly in their prompts or workflows.

Key capabilities include:

• Priority control (levels 1‑5) to surface urgent alerts.
• Custom actions and buttons that can trigger URLs or callbacks on the recipient device.
• Delayed delivery for scheduling future notifications.
• Markdown support so messages can be richly formatted without additional effort.
• Attachment handling, enabling small files or images to accompany the notification.

Real‑world use cases span from DevOps monitoring—where a CI/CD pipeline can notify engineers of build failures—to personal productivity tools that push task reminders or calendar updates. In a multi‑agent system, one agent might analyze data and then use to inform a human operator of critical findings, all while keeping the communication channel secure and typed.

Integration into AI workflows is straightforward: an agent’s prompt can include a call to , optionally passing dynamic parameters such as message content or priority. The MCP client resolves the tool, sends the request to the server, and receives a confirmation response, allowing the agent to proceed or handle errors gracefully. Because the server is built in TypeScript with rigorous type definitions, developers can trust that input validation and error handling are robust, reducing runtime surprises.

What sets this MCP server apart is its focus on security and usability. By centralizing ntfy interactions behind a single endpoint, it eliminates the need to expose raw HTTP credentials in agent code. The server also incorporates sanitization and XSS filtering, ensuring that malicious content cannot be injected into notifications. For teams already using ntfy, this means they can unlock AI‑powered alerting without re‑architecting their notification infrastructure, making the Ntfy MCP Server a valuable addition to any AI‑enabled application stack.