"General Information About Time" matching MCP servers:

Enables AI agents to interact with the ParrotScribe transcription service on macOS, providing tools to start/stop transcription, retrieve real-time and historical transcripts, and search across sessions.

Enables real-time transcription and heuristic vocal stress analysis of live financial webcasts, providing an LLM with rolling transcripts and a stress score.

Real-time English ↔ Mandarin Chinese speech translation for Claude. Transcribes audio locally with Whisper, translates via Claude API, and synthesises speech locally with Piper TTS. Pass a WAV file path. Claude handles the rest.

A Model Context Protocol server that enables AI models to generate and play high-quality text-to-speech audio through your device's native audio system using Rime's voice synthesis API.

Enables streaming text-to-speech generation using ElevenLabs with real-time audio playback and voice listing.

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.

Provides live meeting context to an AI assistant during Google Meet or Zoom calls, enabling real-time transcript reading, decision tracking, and actionable advice in a side panel.

Enables MCP clients to place real phone calls to businesses in the US and Canada, navigating phone menus, waiting on hold, asking the agent mid-call for information, and returning structured answers with transcripts. Supports booking, quotes, cancellations, and multi-business calls in parallel.

Provides adaptive jitter buffering and packet loss concealment for real-time voice streams, ensuring smooth audio playout in unstable network conditions.

Provides read-only access to local voice-to-text transcription history from the SayAll wireless mic app on macOS. Enables MCP-compatible assistants to query and paginate past transcripts by time and app with strong privacy boundaries.

A Model Context Protocol server that enables AI assistants like Claude to initiate and manage real-time voice calls using Twilio and OpenAI's voice models.

Enables small online store owners to run a Shopify or WooCommerce shop by voice through Alexa+, answering questions about sales and stock while executing confirmation-gated actions like shipping orders or drafting supplier messages. Destructive or large-impact writes require a spoken code and are recorded in an audit log.

Exposes the program's push-to-talk transcript history to MCP clients such as Claude Desktop and Claude Code, letting them fetch recent or latest transcripts, query results by time window, range, or ISO timestamp, search text, look up records by id, and read counts, runtime status, or clear history. Each result carries millisecond-precision hold start/end timestamps alongside the transcribed text.

Enables hands-free voice conversations with Claude using real-time speech recognition and text-to-speech on macOS. Creates a self-sustaining conversation loop where Claude can autonomously listen, respond, and continue the interaction without keyboard input.

Enables AI agents to speak and listen in real-time with interruption handling, using local ML models and hot-swappable adapters.

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

Turns a single XState-compatible finite state machine config into a voice-driven MCP surface, generating one tool per event and a resource exposing the current state, context, and available actions. Lets voice assistants and other MCP clients drive stateful conversations and workflows from one source of truth, with guards enforced at call time and state prompts used as spoken replies.

Enables parsing Douyin video information, downloading videos without watermark, and transcribing speech to text using Tencent Cloud ASR.

Enables real-time detection of speech turn completion, distinguishing mid-sentence hesitation pauses from finished turns for voice agents and conversational audio pipelines.

Enables real-time voice agents to dynamically tailor speech pitch, cadence, and pause inflections through low-latency prosody, SSML, and emotion pacing modulation.