"Amazon Fire TV" matching MCP servers:

Provides on-device Chinese speech recognition with traditional Chinese (Taiwan) output via MCP server, HTTP API, and CLI, ensuring privacy by processing audio locally without uploading to cloud services.

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.

This MCP server enables Claude to speak summaries, announcements, and explanations aloud using text-to-speech — right from your terminal.

Provides local-first audio/video analysis by downloading media, transcribing it, and returning structured labels for topics, sentiment, sensitivity flags, and a publish/review/block gate.

Enables MCP-compatible LLMs to control Amazon Alexa devices, including announcements, voice commands, smart-home group management, routines, media playback, and sensor state queries.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

Enables agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.

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 small shopkeepers to record credit and payment entries, check balances, list dues, and get ranked collection plans with drafted reminders through natural voice commands, including code-mixed Tamil/Hindi/English speech. It returns short spoken-style responses over a self-hosted Streamable HTTP MCP server backed by Amazon Bedrock, with a regex fallback when Bedrock is unavailable.

Enables converting text to speech audio in 20+ languages, returning base64-encoded MP3 output via Google TTS with x402 micropayment-based pay-per-call access.

Enables AI agents to transcribe Instagram Reels into text by providing a tool that accepts a Reel URL and returns the speech transcript along with metadata such as author and duration.

Enables small dairy and crop farmers in India to talk to a voice-friendly farm ledger, with every number verified rather than guessed. It is a self-hosted MCP server over Streamable HTTP, planned to run on AWS Lambda with DynamoDB and Amazon Bedrock.

Enables Alexa+ to run spoken mock technical interviews by parsing a candidate's resume and target job description, generating tailored questions, and scoring each answer against Bar Raiser rubrics via Amazon Bedrock. It also produces a session report with score breakdowns, weak topics, and a concrete practice plan.

Enables AI agents to interact with a personal Telegram account via MCP, offering tools for reading and searching chats, summarizing unread messages, sending and editing messages, handling files and voice transcripts, and managing groups and channels, with read-only mode by default.

Enables households to run a free, voice-driven play-along game during live sports: it detects big moments in a game feed, opens a short call window, resolves plays, and scores each player's predictions with underdog bonuses and streak multipliers. Also manages players, game-night sessions, recaps, and a persistent family season leaderboard rendered as an MCP Apps board on Echo Show and Fire TV.

Exposes the rooted Amazon Echo Dot's hardware controls, including LED ring, volume, microphone, speaker, and music playback, as MCP tools for local agents to drive.

It enables Alexa+ to monitor live Fire TV playback, apply child-profile-based scene interventions, and perform real-time subtitle translation, dubbing, and dialogue replacement without leaving playback.

Enables submitting audio via URL or Base64 for local Whisper transcription, then checking job status and results or deleting transcription jobs. It provides asynchronous job handling and SSRF-protected downloads/callbacks without cloud API calls.

An MCP server that provides speech-to-text transcription and speaker diarization using OpenAI Whisper and pyannote.audio.