"Prime Video" matching MCP servers:

Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.

Enables fetching YouTube video transcripts from any URL without API keys, browser, or OAuth, with honest error reporting for missing transcripts and support for multiple languages, formats, and resilient provider fallbacks.

Translate PDF, Word (DOCX), Excel (XLSX) and PowerPoint (PPTX) files, images, subtitles and text. Turn audio and video into transcripts or translated subtitles. Preserve layout where supported. Requires an Equalang API key and credits.

Enables document and video translation, plus subtitle rewriting, through the Belindoc translation API with both stdio and remote HTTP access.

Enables fetching and analyzing YouTube video comments and replies through the YouTube Data API. Supports sorting by relevance or time and returns structured JSON data for comment analysis, summarization, and translation tasks.

Enables converting video and audio files into transcripts and Traditional Chinese subtitles using Groq Whisper with a pluggable translation backend, including an English-to-Chinese pipeline and a Chinese-to-Taiwanese-Mandarin proofreading pipeline. Transcriptions run as background jobs whose progress, output subtitle paths, and setup status can be queried through the conversation.

A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.

Enables AI agents to search for sworn and qualified interpreters and manage on-site, phone, and video assignments on behalf of a customer account. Supports creating booking requests, selecting available interpreters, reading booking and payment status, requesting changes, and cancelling bookings.

Enables AI video dubbing from any MCP-capable agent: upload a video or provide a URL, submit a dubbing job, poll progress, and download the finished MP4.

Enables LLMs to transcribe, analyze, and translate audio/video content through Gladia's API.

Enables AI agents to extract YouTube video metadata and generate high-quality multilingual transcriptions with voice activity detection, supporting 99 languages with translation capabilities and intelligent caching.

Enables AI-powered translation of YouTube videos into localized versions with synthesized voiceovers and avatar videos. Supports the full content pipeline from transcript extraction and translation to video generation and publishing across social platforms.

An all-in-one MCP server for transcription, supporting YouTube, audio, and video with translation, summarization, chapter generation, subtitle export, and batch processing via 19 tools.