"AWS instance metadata service endpoint URL" matching MCP servers:

Enables real-time voice agents and streaming audio pipelines to detect conversational turn completion, distinguishing finished speech turns from mid-sentence hesitation pauses using acoustic VAD and semantic scoring. It provides low-latency decision and telemetry output through a native MCP interface for integration with MCP-compliant clients.

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

Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.

Enables MCP clients such as Claude Code, Codex and Cursor to retrieve timestamped transcripts of public YouTube videos, either from cache, from native captions, or via asynchronous audio-generation jobs that are polled by job ID. It returns the source URL, selected language and millisecond-offset segments without summarizing the video itself.

MCP server for Whipscribe — transcribe audio and video from a URL or local file via Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP-compatible client.

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.

MCP server for vdl that lets AI assistants resolve, download, and transcribe videos through a self-hosted vdl instance.

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.

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 Claude to fetch the spoken text of YouTube videos from any URL or video ID, listing available captions and languages and paging through long transcripts. It also handles proxy configuration to work around YouTube IP blocks.

Enables agents to create courses, upload lecture recordings, run the transcription and generation pipeline, retrieve study sheets and flashcards, and export Anki decks. It supports both local operation and a hosted instance with account-token access.

Enables users to extract transcripts from Douyin videos, parse video metadata, retrieve download links, and transcribe audio files, using HTTP parsing with Chrome/Edge fallback and SiliconFlow cloud ASR by default.

An MCP server that exposes speech-to-text and text-to-speech capabilities using a local speaches instance, allowing AI assistants to transcribe audio and generate speech.

Enables coding agents to participate in voice calls, speaking replies while continuing their work and accepting spoken input or interruptions within the same conversation. It delivers voice input into Claude Code, Codex, Cursor, or custom HTTP endpoint workflows.

Provides multimodal understanding tools including OCR, image description, audio transcription, UI screenshot analysis, and screenshot comparison via async tools on a multimodal endpoint.

Provides ten hosted audio AI tools — TTS, voice cloning, music generation, stem separation, speaker separation, transcription, denoising, media conversion, and job polling — over a single streamable-HTTP endpoint for any MCP-capable agent.

Enables AI coding agents and MCP clients to generate Giggy text-to-speech audio by listing voices, requesting speech generations, and polling generation status until a downloadable result URL is ready.

Enables supported local AI clients to control a visible desktop presence through bounded presentation tools such as animations, window control, and short local speech over a loopback endpoint, without granting decision or execution authority.

A voice-to-text transcription service that converts audio files to transcripts using SiliconFlow, supporting both multipart/form-data and base64 formats.

Enables extracting video and post metadata, creator feeds, comments, direct media streams, and transcripts from YouTube, TikTok, Instagram, and Threads, with no API keys or logins required for most sources. Combines Faster-Whisper audio transcription with ffmpeg keyframe and carousel OCR so videos that have no captions or consist of screenshots and text slides still yield full text.