Notify Completion MCP Server

0
0 Reviews
0 Stars
This MCP server provides real-time notifications upon the completion of AI-driven long tasks, allowing users to multitask without monitoring actively. It integrates with AI agents to automatically trigger alerts, improving productivity and ensuring tasks are not overlooked.
Added on:
Created by:
Apr 28 2025
Notify Completion MCP Server

Notify Completion MCP Server

0 Reviews
0
0
Notify Completion MCP Server
This MCP server provides real-time notifications upon the completion of AI-driven long tasks, allowing users to multitask without monitoring actively. It integrates with AI agents to automatically trigger alerts, improving productivity and ensuring tasks are not overlooked.
Added on:
Created by:
Apr 28 2025
nakat-t
Featured

What is Notify Completion MCP Server?

The Notify Completion MCP Server is designed to address the need for efficient task management during long-running AI processes. By monitoring task execution times and providing automated notifications upon completion, it helps users avoid constant manual checks. It works with various AI agents and tools, supporting command execution, timer management, and overdue task alerts. The system is highly configurable, allowing users to set notification commands, thresholds, and environment variables for personalized workflow optimization. It is suitable for developers, researchers, and anyone relying on AI automation for complex or time-consuming tasks, ensuring seamless task tracking and timely alerts.

Who will use Notify Completion MCP Server?

  • AI developers
  • Automation engineers
  • Productivity enthusiasts
  • Research professionals
  • Workflow managers

How to use the Notify Completion MCP Server?

  • Step 1: Install the MCP server and configure environment variables including notification commands.
  • Step 2: Integrate the MCP server with your AI agent or task execution environment.
  • Step 3: At the start of a long-running task, run the 'start-timer' tool to initiate tracking.
  • Step 4: Upon task completion, run the 'check-overdue' tool to verify if the task is overdue.
  • Step 5: If overdue, execute the specified notification command to alert the user.
  • Step 6: Continuously monitor task duration and receive notifications on completion.

Notify Completion MCP Server's Core Features & Benefits

The Core Features
  • start-timer
  • check-overdue
The Benefits
  • Automated notifications for task completion
  • Enhanced productivity by reducing manual monitoring
  • Highly customizable configuration
  • Supports multiple AI agents and environments
  • Improves workflow efficiency

Notify Completion MCP Server's Main Use Cases & Applications

  • Monitoring lengthy AI data processing tasks
  • Managing long training sessions for machine learning models
  • Automating desktop notifications for task completion
  • Workflow automation in AI development environments

FAQs of Notify Completion MCP Server

Developer

  • nakat-t

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Monitoring

Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A cross-platform desktop app providing offline access, performance, and detailed metrics for MCP system interaction.
A simplified Prometheus MCP server for collecting and exposing metrics and monitoring data.
Enables advanced browser automation for viewport management, screenshot capture, and content extraction using TypeScript.
A GUI tool for managing MCP servers across clients with seamless toggling and real-time monitoring features.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A server for sending notifications to self-hosted ntfy servers with secure token authentication support.
A Python SDK-based MCP supporting Elasticsearch 7 and 8 for search, mapping, health, and stats monitoring.
A comprehensive suite of containers for efficient microservices deployment and management.