"Scraping Public Documents" matching MCP servers:

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.

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.

Transcribe public videos and audio (YouTube, TikTok, Instagram, Facebook, Pinterest, Google Drive) into accurate, timestamped text from Claude, ChatGPT, Cursor or any MCP client. Spanish, English and dozens of languages auto-detected. Poll-based (transcription takes minutes), same free-beta limits as the app. Docs: https://justtranscribe.ai/mcp

Transcribes YouTube videos or audio files to Markdown, plain-text, and Word documents.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Enables AI to analyze audio files for loudness, voice quality, and more via the AudioLab API, supporting both public URLs and local files.

Enables transcribing public Douyin videos to text using a local AI model, providing read-only tools for transcription, search, and listing.

Enables macOS control, web scraping, news fetching, and workspace automation through an MCP server.

Enables transcribing speech from public HTTPS video URLs using OpenAI Speech-to-Text, with audio extraction via FFmpeg and structured JSON results returned through an MCP tool.

A local multimodal recognition workbench that uses your Edge/Chrome session to access DeepSeek Web, exposing MCP tools for recognizing images, documents, audio, and video with privacy-preserving temporary processing.