"Information about CookUnity meal delivery service" matching MCP servers:

Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.

Enables AI agents to interact with the ParrotScribe transcription service on macOS, providing tools to start/stop transcription, retrieve real-time and historical transcripts, and search across sessions.

Enables controlling a Dirtywave M8 over USB by reading its screen as text, pressing buttons, playing notes, and retrieving system information through MCP tools.

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.

Enables MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

Control Logic Pro locally on macOS through MCP: transport, tracks, mixer, plug-in parameters, audio analysis, bounce and delivery, with optional gesture and voice control. Uses OSC, CoreMIDI and macOS Accessibility. Actions report confirmed, uncertain or failed outcomes. Actual control requires a local Mac with Logic Pro. Hosted/Linux builds are schema inspection only; all operations are disabled.

An MCP server that enables AI assistants to search, analyze, and retrieve information about audio samples from Freesound.org through their API.

A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.

MCP server for ElevenReader TTS service. Enables document management, URL/ebook upload, voice configuration, and progress tracking.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

Enables searching and downloading audio samples from Freesound using keywords, filters, and sound IDs. It provides detailed sound metadata including duration, license information, and preview URLs.

A Model Context Protocol server that integrates with VOICEVOX engine to provide text-to-speech synthesis and speaker information retrieval, allowing users to generate and play voice audio from text.

Enables AI agents to manage voices and generate speech, multi-character dubbing, and batch audio through a local TTS service, including health checks and job polling.

Enables voice-coaching hosts to analyze speech across delivery, language, fluency, pronunciation, and emotional state, then synthesize structured coaching feedback that can be spoken aloud.

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

Enables AI agents to enroll and verify voice samples against known identities, providing honest confidence signals about voice authenticity.

Gives Claude Code, Claude Desktop, Cursor and any other MCP client a local sound studio that turns plain-language requests into background music, instrument loops and sound effects, then re-styles, regenerates or extends them and exports seamless loops, fades and loudness-normalized WAV, OGG or FLAC files. Everything runs on Apple Silicon with no cloud service and no API key.

Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.

Enables Claude to discover available engines and voices, generate narration from text, monitor generation jobs, download finished audio, and run voice evaluations, all against a local on-device service.

Enables local inspection of Apple MainStage state and patch/set information, plus MIDI control such as program changes, CC, and metronome toggle via MCP.

Gives coding agents the ability to hear and reason about audio by describing sounds, matching them to text, locating key moments, detecting realness, generating timelines, and critiquing soundtracks. It also lets agents synthesize and iteratively improve their own sounds in code.

This service provides fast and reliable transcriptions for audio/video files and voice memos. It allows LLMs to interact with the text content of audio/video file.

A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers like Deepgram, Gladia, Speechmatics, and AssemblyAI.

Connects AI coding agents to PreSonus StudioLive III mixers over the local network, exposing live mixer context such as channel names, mute/solo/fader state, Fat Channel compressor/EQ models, and meter activity as MCP resources and tools for reading and reasoning about live sound engineering.

Integrates with Freesound.org to enable searching, discovering, and previewing audio content such as sound effects and music loops. It provides detailed metadata and licensing information to support video editing and content creation workflows.

MCP server for GovTech's Transcribe speech-to-text service, enabling audio upload, batch transcription, summaries, minutes, sections, notes, and transcript Q&A.

Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.

A self-hostable MCP server for Roshan AI's Persian speech service, Harf, enabling transcription, forced alignment, real-time streaming, and speaker analysis through natural language.

Enables text-only AI agents to ask questions about images, audio, and video by passing file paths or URLs to a multimodal model and returning text answers.