"The Sounds Resource" matching MCP servers:

An MCP server that connects to the Resource Hub, allowing centralized configuration and management of tools and resources across different MCP environments.

Provides automatic desktop notifications and contextual sounds for Claude Code operations across macOS, Windows, and Linux. It enhances the development experience by intelligently mapping specific event types to native system alerts and sounds.

Enables sending push notifications to your devices via Pushover, allowing you to receive alerts and messages with customizable titles, URLs, priorities, and sounds.

Enables AI assistants to interact with humans through GUI dialogs for text input, choices, confirmations, and information display.

Enables an LLM client to read a structured CV resource and send tailored application emails to recruiters via SMTP.

Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider. Features 10 built-in synth types, pattern sequencing, audio recording, and server lifecycle management for creating sounds from simple English descriptions.

Enables AI agents to search, browse, and play millions of meme sounds and sound effects from myinstants.com directly through the user's speakers. It supports streaming audio for trending clips, categories, and viral soundboard buttons to enhance agent interactions with reactive audio.

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 AI assistants to interact with the Just Plan It (JPI) job scheduling and resource management system through 69 MCP tools covering full CRUD operations for jobs, tasks, templates, components, and resources.

Plays Spotify tracks or system sounds as notifications when Claude Code completes tasks, with desktop notifications and cross-platform support for macOS, Linux, and Windows.

A Model Context Protocol service that sends desktop notifications and alert sounds when AI agent tasks are completed, integrating with various LLM clients like Claude Desktop and Cursor.

Enables interaction with the AppFlowy Cloud API to manage workspaces, databases, and row operations. It provides tools for authentication, resource discovery, and full row manipulation including creation and upserts.

Enables Claude and other MCP clients to display native macOS notifications with customizable titles, messages, icons, and sounds through the macOS Notification Center.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Enables programmatic management of Koyeb resources including apps, services, deployments, and instances via the Model Context Protocol. It allows users to query build and runtime logs and perform resource lifecycle operations through the Koyeb API.

A central hub that aggregates multiple MCP resource servers into a single unified interface, enabling users to access tools and capabilities from multiple backend servers through one connection point.

MCP server built into Rillsoft Project 10 for multi-project resource planning (local, Windows)

Turns a GAS service into an MCP server, exposing tools for session creation, resource reading, searching, and executing capabilities.

Enables AI assistants to send native macOS notifications for task completion alerts and reminders. Supports interactive features like custom system sounds, action buttons, and user replies directly from the notification center.

Enables AI assistants to interact with Tilt development workflows, including monitoring resource status, managing resources (enable/disable/trigger), accessing logs, and configuring Tiltfile arguments through natural language.