"How to play a sound notification when a task is completed" matching MCP servers:

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Enables agents and applications to send notifications through configurable channels such as Telegram or a JSONL file, with queued delivery, status tracking, idempotency, and event-based routing.

Plays sound effects (completion, newtype, and error sounds) in response to various situations like task completion, insights, or errors. Integrates with Claude Desktop to provide audio feedback for improved workflow efficiency and entertainment.

Enables sending push notifications via Bark and PushDeer services, supporting message, markdown, and image notifications.

Elevate your LLM task management with Task Orchestrator, an MCP server that empowers you to define, organize, and track goals and tasks with hierarchical precision. Integrate intelligent task management into your workflow.

Enables Claude AI to send real-time notifications to Slack channels with support for rich formatting, multiple channels, and customizable message styling for workflow automation and task completion alerts.

Enables users to manage tasks through a simple JSON file interface. Provides basic task management functionality by reading and writing to a configurable tasks.json file.

Enables autonomous AI agents and developers to programmatically manage Google Play apps via the Play Developer API v3, including uploading Android App Bundles, managing release tracks, updating store listings, and replying to user reviews.

Enables sending Telegram messages from Claude Code for notifications, alerts, and task-completion updates, with support for Markdown/HTML formatting and optional chat targeting.

Integrates Google Play Store management tools with AI assistants to handle app listings, releases, and user reviews. It enables users to manage Play Console tasks like updating store information and retrieving performance statistics through natural language.

Enables AI assistants to manage Dida365 (滴答清单) tasks through the Model Context Protocol. It supports full task lifecycle management including creating, updating, and filtering tasks with automatic timezone handling.

macOS Notification MCP enables AI assistants to trigger native macOS sounds, visual notifications, and text-to-speech. Built for Claude and other AI models using the Model Context Protocol.

An MCP server for task orchestration.

A Model Context Protocol implementation that provides a standardized interface for task management, supporting both STDIO mode for CLI/AI applications and HTTP+SSE mode for browser-based clients.

Enables AI agents to report task lifecycle events—start, progress, waiting, rename, and terminal outcomes—so a single Huawei Today screen card stays updated per task under one task_id. Delivers these notifications through a self-hosted Cloudflare Workers deployment with OAuth-scoped agents, queued retries, and an admin console for notification policies.

Manages Google Play Store listing text through the official Android Publisher API with dry-run-first safety, supporting CLI for humans/CI and MCP tools for agents.

Enables AI agents to automate Android release workflows via the Google Play Android Publisher API, including deploying builds, managing listings, and replying to reviews.

Enables AI agents to monitor and read Android notifications in real-time via Termux. Provides access to current notifications with filtering capabilities and real-time streaming of new notifications as they arrive.

Enables creation and management of scheduled tasks with interval, cron, or one-time triggers. Persists tasks in SQLite and supports MCP sampling to automatically invoke AI agents when schedules trigger.

A sophisticated task orchestration system with role-based workflow management and Trello integration.