"Non-Docker Implementation of Jira with MCP" 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.

Enables agents to access OpenAI-compatible transcription, live ASR, text-to-speech, voice cloning, phoneme recognition, and server-side file staging through streamable HTTP MCP tools.

Enables AI agents to perform comprehensive audio processing—stem separation, analysis, transcription, restoration, speech processing, and generation—through a unified self-hosted API with asynchronous jobs and webhooks.

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.

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

A Model Context Protocol implementation that plays sound effects (completion, error, notification) for Cursor AI and other MCP-compatible environments, providing audio feedback for a more interactive coding experience.

Enables MCP clients such as Claude Code, Cursor, and VS Code to generate speech through three MiMo TTS models: nine built-in voices (with singing and style/audio tags), voices designed purely from a text description, and voices cloned from a local mp3/wav sample. Audio is streamed and written only inside a sandboxed output directory, with non-overwriting filenames.

Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

Local-first CLI + MCP server for meeting recordings - Whisper transcription,

Enables natural language control of Room EQ Wizard for acoustic measurements, analysis, and EQ optimization, with peak/null detection and room-mode analysis.

Enables comprehensive analysis of MIDI SMF files including loading, parsing, track analysis, event extraction with filtering, and detailed file summaries. Supports memory management for efficient repeated access to loaded MIDI files.

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.

Gives an agent a full video editing room: import footage, cut and order shots, add captions and audio, composite, replace screens via SAM2, render, and export in multiple formats, all locally in Docker with no API key required.

Enables asynchronous transcription of long audio and video files using Deepgram's Speech-to-Text API with features like speaker diarization, sentiment analysis, topic detection, and summarization without timeout issues.

An MCP server that exposes Ableton Live control (session state, transport, tracks, devices, clips, MIDI note editing) as tools for LLM agents, enabling natural language manipulation of a Live session.

An MCP server that connects Claude to FL Studio, enabling natural language control of transport, mixer, channel rack, and piano roll operations.

A Model Context Protocol server that lets your AI download YouTube audio and search videos, powered by yt-dlp and ffmpeg, shipped as a Docker image.

Enables control of a Behringer WING digital mixing console through MCP clients, exposing 116 typed tools for mixing, processing, automation, presets, scenes, and other console features, along with a web dashboard.

MCP server that wraps Daniel M Karlsson's SuperClean SC pattern engine, enabling control of Pdefs, tempo, and hushing via Claude Code through an OSC bridge.