pulsemcp Safe content atomic mcp-remote

Play Sound

This MCP server provides audio notification capabilities for AI agents, enabling them to play sound alerts when coding tasks are completed. Built using Python with FastMCP and multiple audio backend support (afplay for macOS and simpleaudio for cross-platform compatibility), it offers four core tools: play_notification_sound for triggering audio alerts with custom or default sounds, get_audio_status for checking system configuration and available backends, test_audio_playback for troubleshooting audio functionality, and list_audio_devices for discovering available output devices on macOS. The implementation features automatic fallback between audio backends, volume control, device switching capabilities, configurable timeouts, and security restrictions to prevent unauthorized file access, making it valuable for developers who want audible feedback from AI coding assistants to stay informed about task completion without constantly monitoring their screens.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/davidteren/play-sound-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve Play Sound from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"