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mcp-notifier-hub-ntfy

A dedicated Model Context Protocol (MCP) service adapter designed to relay asynchronous task completion signals from an AI agent back to the user via the ntfy push notification system. This architecture ensures continuous user awareness of workflow progression without imposing real-time interaction demands, thereby optimizing multitasking efficiency.

Author

mcp-notifier-hub-ntfy logo

teddyzxcv

Apache License 2.0

Quick Info

GitHub GitHub Stars 40
NPM Weekly Downloads 708
Tools 1
Last Updated 2026-02-19

Tags

mcpnotificationsteddyzxcvnotifications ntfyntfy mcpntfy task

ntfy-mcp: Asynchronous Workflow Status Broadcaster

Welcome to ntfy-mcp, the specialized MCP service engineered to keep your operational awareness high! 🚀🔔

This utility bridges the Model Context Protocol ecosystem with the ntfy alerting mechanism. Upon successful finalization of an AI-managed operation, it immediately dispatches a discrete notification. This capability frees the user to focus on higher-level activities, secure in the knowledge that completion events will be delivered reliably.

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Initial Deployment: The Rapid Setup Sequence

Phase 1: Source Acquisition

git clone https://github.com/teddyzxcv/ntfy-mcp.git
cd ntfy-mcp

Phase 2: Dependency Resolution

npm install

Phase 3: Artifact Generation

npm run build

Phase 4: Connection Establishment

Select your preferred execution modality:

Direct Execution Mode:

npm start

Configuration via Cline Manifest:

"ntfy-mcp": {
  "command": "node",
  "args": [
    "/path/to/ntfy-mcp/build/index.js"
  ],
  "env": {
    "NTFY_TOPIC": "<your designated alert channel>"
  },
  "autoApprove": [
    "notify_user" // Essential for maintaining an undisturbed user experience
  ]
}

Phase 5: End-Point Configuration

  1. Acquire the official ntfy client application on your mobile device.
  2. Subscribe your client to the topic specified in Phase 4.
  3. Cease active monitoring and delegate.

Phase 6: Invocation Protocol

Ensure your task request explicitly mandates notification upon result delivery. (Note: Reliance on persistent context settings like Cline's 'Custom Instructions' may be unreliable due to context window limitations; explicit instruction embedding is preferred).

Generate a standard Python 'Hello World' script, and signal me immediately upon task resolution.

Phase 7: Result Reception

Alerts confirming task conclusion will be delivered to your subscribed endpoint. Enjoy the pause!

Operational Mechanics (Under the Hood)

This server instance functions as an MCP endpoint listener. Upon receiving a completion event payload transmitted via the protocol, it formats and pushes the relevant status information to the configured ntfy endpoint, thus decoupling task status awareness from foreground application activity.

Core Library Dependencies

Licensing Framework

This software is distributed under the terms of the Apache License, Version 2.0. Refer to the LICENSE file for comprehensive terms.

Copyright 2025 Casey Hand @cyanheads

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Proceed with automated development, knowing status updates are reliably managed! 🎉

See Also

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