"How to use or perform actions in Apple Calendar" matching MCP servers:

MCP server for controlling Apple Music on macOS via AppleScript, enabling playlist management, playback control, and library search through natural language.

Provides programmatic access to Apple Voice Memos on macOS, enabling AI assistants to list, retrieve details, get audio, and transcribe recordings.

Enables converting text to speech audio in 20+ languages, returning base64-encoded MP3 output via Google TTS with x402 micropayment-based pay-per-call access.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Enables conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

Enables users to build and tweak BOSS GT-1 guitar tones and patches through plain-language conversation, with Claude writing amp, drive, and effect settings over USB. It can also listen to the pedal's audio, adjust levels and noise suppression, manage user slots, and run a metronome.

Enables control of Apple Music on macOS, including playback, track info, volume, and more.

Enables real-time full-duplex voice agents to classify user interruptions, backchannels, and acoustic echo, and to arbitrate turn-taking with context rollback via MCP.

Enables real-time voice agents to arbitrate full-duplex speech by classifying user interruptions, backchannels, and acoustic echo while supporting context rollback.

An MCP server that provides speech-to-text transcription and speaker diarization using OpenAI Whisper and pyannote.audio.

Enables controlling Apple Music playlists, library, catalog discovery, playback, and the Up Next queue from any MCP client, using Music.app, Safari, Chrome, or the Apple Music API. Runs on macOS, Windows, and Linux, with a mode preference that picks the best available engine per call.

Gives MCP clients control of Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue across macOS, Windows, and Linux, using Music.app, Safari, the Apple Music API, or Chrome.

Enables any MCP client to control Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue on macOS, Windows, and Linux using selectable native, API, Safari, or Chrome engines. Provides catalog and library search, playlist and folder management, ratings and favorites, playback controls, queue management, AirPlay selection, and cross-platform support with or without an Apple Music subscription.

Enables MCP clients to search and manage playlists, library, catalog, discovery, playback, and the Up Next queue across macOS, Windows, and Linux.

Enables MCP clients to control playlists, library, catalog, discovery, playback, and the Up Next queue across macOS, Windows, and Linux using native, API, Safari, or Chrome engines. Requires a Mac or an Apple Music subscription and supports local library actions plus cross-platform catalog access.

Enables MCP clients to manage Apple Music playlists end-to-end, including search, playlist creation and editing, metadata and flow auditing, track ordering optimization, and listening statistics, without an Apple Developer account.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

Lets Claude or any MCP client drive the macOS Music app locally to control playback, search the library, build and edit playlists, set favorites, and pull listening statistics like top tracks, artists, albums, and genres.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

Enables submitting audio via URL or Base64 for local Whisper transcription, then checking job status and results or deleting transcription jobs. It provides asynchronous job handling and SSRF-protected downloads/callbacks without cloud API calls.

Enables MCP clients to search and browse the catalog, manage playlists, library items, ratings and folders, and control playback and the Up Next queue. It runs across macOS, Windows and Linux using four selectable engines—native Music.app, the web API, Safari or Chrome—so a Mac or a subscription is all that's needed.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

A server that generates MP3 audio files from text using Kokoro TTS technology with optional S3 upload capabilities.

Enables MCP clients such as Claude to generate spoken audio locally, narrating English with Kokoro and Malayalam with IndicF5, Parler-TTS, Piper or MMS, including cloned Malayalam voices, pronunciation lexicons, and number/currency expansion. Outputs loudness-normalised WAV or MP3 and runs long narrations through a pollable job queue so tool calls never time out.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Enables MCP clients to search and manage Apple Music playlists, library, catalog, and discovery, plus control playback and the Up Next queue across macOS, Windows, and Linux. It works with either a Mac or an Apple Music subscription and can use native Music.app, Safari, Chrome, or the Apple Music API.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.