Ntfy

Ntfy is an MCP server that connects AI assistants to ntfy notification servers to send and retrieve push messages directly from client workspaces. It enables developers, system administrators, and automated agents to dispatch real-time alerts to mobile devices, desktop endpoints, or web subscribers through self-hosted or public ntfy setups. By integrating through the Model Context Protocol, the server allows language models like Claude to publish topic updates, query recent messages, and manage priority notifications securely using token authentication. Software teams use this tool to monitor autonomous coding sessions, receive prompt operational alerts during long-running background tasks, and check incoming event channels without leaving their preferred development environments. Users can deploy the service using runtime container tools like Docker or execute it directly with Node package utilities. By providing standardized communication actions, the server turns everyday push notification infrastructure into an accessible bridge for language model workflows, letting assistants report errors, notify operators when human input is necessary, and track service statuses reliably across distributed internal networks.

Category: Communication & Messaging

Tags: alerts, messaging, notifications, ntfy

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How to install and configure Ntfy

1. Review the official documentation to obtain the necessary installation details, such as Docker container configurations or npx execution commands. 2. Configure your ntfy server connection settings, including your self-hosted host URL and any required authentication tokens. 3. Open your MCP client configuration file (such as claude_desktop_config.json for Claude Desktop). 4. Add the Ntfy server entry under the mcpServers object, specifying the execution command (using npx or docker) and setting the appropriate environment variables. 5. Save the configuration file and restart your MCP client to verify the connection.

What you can do with Ntfy

• Dispatch push notifications to your mobile phone or desktop when an automated agent finishes executing long-running code generation scripts. * Monitor system health by allowing AI assistants to publish warning and error alerts directly to self-hosted ntfy topics during debugging. * Query and retrieve recent channel messages within an LLM workflow to inspect incoming incident reports or user requests. * Alert on-call engineers when an AI agent encounters unresolvable execution exceptions or requires manual authentication to continue.

Key facts

• Open Source
• Communication & Messaging
• alerts, messaging, notifications, ntfy

Part of MCP Servers

What can Ntfy do?

Ntfy allows AI agents to interact directly with an ntfy notification server. Through this MCP server, language models can publish new push alerts, post notifications with custom priority levels, and fetch recent message history from specified topics. It supports token authentication to work securely with self-hosted ntfy instances.

Which MCP clients work with Ntfy?

Ntfy works with any client that implements the Model Context Protocol. Supported environments include Claude Desktop, Cursor, and custom agent frameworks built using the official MCP SDK. Once configured in the client configuration file, the client can immediately access tools for sending and reading ntfy notifications.

How do I install Ntfy?

Ntfy can be run using npx or deployed via Docker containers. To install and configure the server, consult the project documentation for the appropriate container tag or package runner command. Then, add the startup command and any required authentication credentials to your MCP client configuration file and restart the application.

Is Ntfy open source?

Yes, Ntfy is open source software. Users can inspect, run, and adapt the integration code to accommodate custom push notifications, proprietary self-hosted servers, or specific topic authorization requirements within their local development infrastructure and automated AI agent workflows without licensing fees.