"Fetching health data from an Apple Watch, including sleep, heart rate, and activity" matching MCP servers:

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

Enhanced MCP server for sending native macOS notifications with terminal-notifier, interactive dialogs, text-to-speech, screenshots, and file selection.

Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.

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.

Enables any MCP-compatible client to perform local voice cloning and text-to-speech using OmniVoice, including voice profile management, voice design, and an optional ASMR post-processing DSP pipeline.

An MCP server that wraps the WellSaid Labs text-to-speech API, enabling Claude to generate lifelike voiceovers with voice selection, prosody control, and caption support directly from text.

Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.

Lets AI assistants query available voices from an OpenAI-compatible TTS service and synthesize text into audio with a chosen voice, tone, and speed, returning a public audio URL instead of Base64 data.

A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.

Connects Speak AI transcription and insight data to Claude and ChatGPT, enabling natural language queries for summaries, action items, and quotes from recordings.

Enables AI coding agents to access Bilibili video data and turn videos into notes, including search, video info, subtitles, chapters, audio download, ASR transcription, comments, uploader collections, and favorites.

VoxFabric is an MCP server for speech I/O, enabling TTS playback via Edge TTS and optional local ASR listening from any MCP host.

Analyze an hour-long YouTube video sentence by sentence in three minutes, and extract the information you need from the screen. Open-source local MCP server for AI clients.

An MCP server that enables LLMs to generate spoken audio from text using OpenAI's Text-to-Speech API, supporting various voices, models, and audio formats.

Provides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.

Wraps the Transkriptor developer API to transcribe audio, video, public URLs, and live meetings, with support for fetching transcriptions, summaries, exports, file management, custom vocabulary, webhooks, text-to-speech, and AI chat knowledgebases.

An MCP server that enables natural language control of Ableton Live, including session/transport, track management, MIDI clips and notes, devices, automation, browser integration, and audio generation via ElevenLabs.

An MCP server that enables LLMs to access the NijiVoice API for text-to-speech generation, supporting features like fetching available voice actors and checking credit balance.

Enables Google Antigravity IDE to invoke local Windows Text-to-Speech tools for speaking text, listing available voices, and adjusting voice, rate, and volume via MCP.

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.