"Converting User Requirements to Technical Specifications" matching MCP servers:

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

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 conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.

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

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.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

A server that generates MP3 audio files from text using Kokoro TTS technology with optional S3 upload capabilities.

Enables MCP clients such as Claude to generate spoken audio locally, narrating English with Kokoro and Malayalam with IndicF5, Parler-TTS, Piper or MMS, including cloned Malayalam voices, pronunciation lexicons, and number/currency expansion. Outputs loudness-normalised WAV or MP3 and runs long narrations through a pollable job queue so tool calls never time out.

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.

Enables AI models to speak and sing using retro-style formant speech synthesis, converting text or phoneme strings to WAV audio via MCP tools.

Discover audio and LLM services, compare seven voices, and check prices for free. Generate speech, transcribe audio and request LLM text with optional capped USDC payments on Base; voice-cloning requirements are also available.

Enables AI-powered music generation through natural language commands, supporting both inspiration mode (AI-generated lyrics and style) and custom mode (user-provided lyrics and parameters) to create songs with direct download links.

MCP server integrating VolcEngine for automatic speech recognition (ASR) and text-to-speech (TTS), converting audio to text or text to audio files.

Enables coding agents to inspect and manipulate video and audio through ffmpeg-backed tools for probing, trimming, cropping, resizing, extracting audio or frames, generating thumbnails, normalizing loudness, concatenating files, burning captions, and converting formats. Each operation returns concise JSON with output path, size, and verified duration or dimensions.

A MCP server for accessing Zoom recordings and transcripts without requiring direct authentication from the end user.

Provides video and audio manipulation tools powered by FFmpeg, enabling AI assistants to perform media operations such as cutting, converting, and removing silence.

Enables AI assistants to control and interact with Spotify playback, manage playlists, search for music, and retrieve user listening data through natural language.

Enables AI music production planning by generating song specifications and project plans, converting them for Ableton, generating audio via Google Lyria, and managing memory, review, and orchestration workflows.

Enables controlling a Teenage Engineering EP-133 K.O. II via natural language, converting plain language into MIDI commands for triggering pads, playing scales, and sequencing patterns.

Enables call-recording upload and retrieval, compliance metadata and tag management, group/account/user administration, REST-hook (webhook) notifications, and Dub.Point telecom-system integration against the Dubber platform. All destructive operations are consent-gated and confirmation-protected.

Enables Claude Code and Codex to play spoken alerts on a Mac when a task finishes or user attention is needed, using built-in or custom voice lines while staying quiet during keyboard use, calls, Focus modes, or configured locations.

Enables agents to create and edit animated video projects through 93 tools covering scenes, elements, audio, subtitles, themes, previews, and rendering. It shares live project state with a browser-based editor so agent and user edits stay synchronized.

Enables in-chat music playback by searching song names or specifying Netease song IDs, returning playable music cards with cover, lyrics, and a temporary audio proxy. It relies on a user-configured Netease-compatible API and supports custom card colors.

Enables users to build and tweak BOSS GT-1 guitar tones and patches through plain-language conversation, with Claude writing amp, drive, and effect settings over USB. It can also listen to the pedal's audio, adjust levels and noise suppression, manage user slots, and run a metronome.

Local MCP server for macOS that captures microphone input and/or system audio output into explicit, user-defined sessions and exposes the raw WAV audio to AI agents through MCP tools.

A portable, Dockerized Python tool that implements Model Context Protocol for audio transcription using Whisper models, featuring both CLI and web UI interfaces for converting audio files to JSON transcriptions.

Enables control of Spotify playback, track search, and user profile retrieval via MCP tools with automatic OAuth token management.

Enables Claude to edit audio on Windows using the audio engine of the locally installed Audacity 4, covering splitting, trimming, converting, resampling, mixing, joining, inspecting, and chaining effects on files. It also installs an in-app Audacity 4 extension that adds export, split, import, and labeling actions directly to the editor's menus.

Enables AI agents to check whether generated audio matches a prompt in any language, rank takes, run technical QC, judge fit against images or video, and search or dedupe a local sound library. Each tool returns the same JSON records as the matching CLI command, with the model loaded once and everything running locally.

Enables LLM clients to control Spotify and access user data through the Spotify Web API, including search, playback, playlists, and listening history. Each caller supplies their own credentials per request, so one instance can serve many users without storing any credentials.

An MCP server that plays notification sounds when AI coding assistants like Windsurf or Cursor require user attention, such as when coding is complete or when user approval is needed.

Enables AI agents to manage SoundCloud accounts end-to-end — profile, track and playlist operations, comments, artwork, and uploads — through 55 MCP tools over Streamable HTTP. Includes a browser control panel, a local ffmpeg audio lab for probing, trimming, converting and analyzing masters, and a web-session uploader that works even without an official API app registration.

Enables downloading watermark-free videos from Douyin (TikTok China) share links, extracting audio, and converting speech to text using AI voice recognition APIs.

A cinema-grade video production MCP server that enables automated website recording, editing, and AI-powered narration using ffmpeg and Playwright. It provides tools for color grading, captioning, and converting videos into social media formats through natural language commands.

Enables real-time full-duplex voice agents to classify user interruptions, backchannels, and acoustic echo, and to arbitrate turn-taking with context rollback via MCP.

Exposes push-to-talk speech tools to an agent: check whether the offline ASR daemon is ready, wait for the user to confirm something aloud without auto-submitting that utterance, and interrupt the current turn when the user speaks a stop phrase.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Enables real-time voice agents to arbitrate full-duplex speech by classifying user interruptions, backchannels, and acoustic echo while supporting context rollback.

Enables agents to inspect local audio files' metadata, convert between common formats, trim segments, and normalize loudness through ffmpeg/ffprobe, plus transcribe audio via a user-configured local transcription command. All processing runs on local binaries, returning real tool output or errors rather than fabricated results.