"Connecting with Zendesk's Help Center" matching MCP servers:

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

Dual-mode tool server for controlling Spotify through terminal or AI assistants like Claude or ChatGPT.

Enables comprehensive management of Anki decks and notes through the Model Context Protocol, including bulk operations and note type customization. It features integrated high-quality audio generation for flashcards using ElevenLabs and Google Cloud Text-to-Speech APIs.

Enables Claude to turn a described beat into a loopclub deep link for auditioning and renting on-chain by encoding track specs into a ?jam= URL and returning an ASCII grid. It also supplies vocabulary, genre examples, and a jam prompt to help generate idiomatic loops.

MCP server that analyzes TTS audio recordings, providing transcription, quality scoring, pacing analysis, and mispronunciation detection to debug voice call center audio.

Lets AI assistants act as a sound engineer for a Behringer XR18 digital mixer, connecting over OSC/UDP to read status, adjust faders/EQ/gains/mutes, manage monitor mixes, and save or undo changes with safety guards.

Enables AI coding agents to autonomously generate images, music, and cinematic video directly from their coding environment by connecting to Google Labs and Google Flow through the user's Chrome session.

Enables reading Roon playback state, searching the music library, and controlling playback by connecting to a tonearmd daemon.

Enables connecting a Spotify account to remote MCP clients to search music, manage libraries and playlists, and control playback with per-user OAuth authorization.

Enables AI-assisted VST plugin tuning by connecting Claude CLI to Reaper, allowing a loop of audio capture, spectrum analysis, and live plugin parameter adjustment.

Generate music with Suno (v5.5) from any MCP client — async, and billed only on successful renders (a failed render auto-refunds). Hosted Streamable-HTTP server; tools generate_song / wait_for_song / check_song.

Turns a YouTube link into a readable, timestamped Markdown transcript by preferring existing subtitles and falling back to local Whisper transcription, with optional Traditional-to-Simplified Chinese conversion and Obsidian-friendly output.

Enables spoken conversations with Claude on a Mac: Claude speaks through speakers, listens to the user's natural replies, and transcribes them locally. No audio leaves the computer, and it includes tools for voice setup and a hands-free voice mode.

Converts a single-file MP3/M4A audiobook plus its EPUB into a chaptered M4B, using silence-gap detection to find real chapter boundaries, with checkpointed job-based progress, EPUB preview, boundary inspection/waveform review, metadata lookup, and cover fetching/embedding tools for resumable, verifiable audiobook production.

Voice interface for Claude Code: you talk, the agent listens, codes, and talks back while it works. Live speech-to-text with turn-taking, Grok/xAI voices with per-subagent personas, and a real-time HUD dashboard.

Enables transcription of videos and audio from 1000+ platforms (YouTube, Bilibili, TikTok, etc.) using subtitle extraction first, then local Whisper transcription, with support for long videos, async tasks, and Chinese ASR optimization.

Enables MCP-capable chats and agents to generate images, video, and audio through OpenAI, Google Gemini, fal.ai, and Cloudflare Workers AI, optionally routed via Cloudflare AI Gateway. Supports image editing, asynchronous video jobs, and text-to-speech with per-request provider and model overrides, and can run over stdio or streamable HTTP.

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

Enables AI assistants to transcribe audio files using dTelecom's real-time speech-to-text with pay-per-use USDC micropayments, no API keys required.

Enables MCP clients to measure a track's loudness and peak levels, strip artifacts left by AI generators, compare mastering presets, and master single tracks or batches to streaming targets via a hosted remote server or a local stdio bridge. Tracks are supplied as public HTTPS links, with analysis, cleanup and previews free and full masters limited by a daily free quota or credits.