"Methods for Saving, Reading, and Querying Data" matching MCP servers:

Enables AI clients to watch and hear videos from local files or YouTube, Vimeo, and Loom links by returning timestamped key frames, a transcript, a contact sheet, and a combined timeline, with all processing done locally.

Enables text-to-speech conversion using Google Translate's TTS, supporting many languages and accents, and saving MP3 files.

Extracts transcripts or spoken captions from multi-platform video links (Bilibili, YouTube, Douyin) and returns concise Markdown summaries or full transcripts, saving tokens by keeping full text out of the conversation.

Enables reading, searching, transcribing, and sending WhatsApp messages through uazapi, with audio returned as transcribed text and media saved as local files for AI agent use.

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.

A Node.js server that enables AI assistants to interact with Bouyomi-chan's text-to-speech functionality through Model Context Protocol (MCP), allowing for voice reading of text with adjustable parameters.

Downloads YouTube audio and transcribes it locally using faster-whisper, saving transcripts as Markdown and JSON files for Obsidian and Hermes ingestion.

A MCP server that enables transcription of audio files using OpenAI's Speech-to-Text API, with support for multiple languages and file saving options.

Know what your cloud agents did without reading logs. Heard MCP lets Claude, ChatGPT, Devin, Copilot and other cloud agents brief you out loud on your Mac, by name: what they got done, what's blocking them, or the decision they need. "Scout finished: the CI fix is merged." Answer out loud and the agent picks up your reply and keeps going. Hosted, OAuth sign-in, nothing to install.

Enables ChatGPT and Claude conversations to display accessible interactive charts and lets models navigate readers through data points using speech, braille, and sound.

Enables any AI to place real phone calls in Spain and Mexico with an AI voice agent, then retrieve call status, summaries, collected data, and transcripts.

Read-only MCP server for Telegram that enables reading messages and transcribing voice, audio, and video notes via the Telegram API for use with Codex and Claude Code.

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

Enables Alexa+ to retain and recall a lightweight per-user context thread across separate voice interactions, supporting starting, querying, and listing active contexts for continuity.

Enables users to manage Gmail accounts using AI agent-assisted operations via an MCP protocol, supporting email search, reading, deletion, and sending with a voice-powered interface.

Enables AI models like Claude to easily access and utilize subtitle data from YouTube videos by extracting transcripts from video URLs with support for multiple languages.

Enables coding agents to hold spoken conversations by exposing speech-to-text and text-to-speech tools over MCP, routing them to a local daemon that drives a Chrome window using on-device speech recognition and Piper synthesis. It supports listening, speaking, and reading files aloud within a Claude Code plugin or an MCP gateway.

A local MCP server that turns any text into narration, voice-overs, dialogues, audiobook chapters and per-shot video clips as MP3/WAV files — with emotions, acting modes, inline cues, presets and subtitles — driven by a ChatGPT sign-in rather than an API key. It also exposes tools for inspecting audio (timings, pace, pitch, waveform), transcribing recordings, listing and favouring voices, saving pronunciation presets, and checking sign-in status.

A self-hosted MCP server over Streamable HTTP that lets a voice assistant query production records, capture persistent shift handovers, and run container-load calculations against synthetic factory data. It enables plant managers and line operators to inspect and update shift state through natural language without any cloud dependency.

Enables AI agents to read videos from YouTube links, web pages, media URLs, or local files by returning timestamped transcripts, labelled frame contact sheets, and lossless audio or spectrograms. Also searches YouTube, channels, pages, and folders to find videos worth reading.