Enables local media processing (video/audio) using FFmpeg and FFprobe, allowing frame extraction, audio conversion, and metadata retrieval through natural language.
Transcribes videos from 1000+ platforms (YouTube, TikTok, Vimeo, etc.) and local video files using OpenAI's Whisper model, with support for 90+ languages and multiple output formats.
Enables advanced audio transcription, text-to-speech generation, and audio processing using OpenAI's Whisper and GPT-4o models with support for multiple audio formats, file management, and parallel processing.
Enables recording audio from a microphone and transcribing it using OpenAI's Whisper model. Works as both a standalone MCP server and a Goose AI agent extension.
An unofficial MCP server that provides access to Spotify's Web API through the Model Context Protocol, enabling AI assistants to search music, manage playlists, and control playback.
MCP server that transforms cognitive state into generative music by mapping 13 epistemic vectors to Strudel live coding patterns, with mood presets and a web UI for interactive control.
MCP server that enables LLMs to search, play, and manage music from multiple platforms (NetEase, QQ, Kugou) and local files, with lyrics retrieval and playback control.
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.
An MCP server for Spotify control and synchronized lyrics retrieval that enables playback management, queue navigation, and music search capabilities. It also features perception tools for real-time track analysis, including BPM, key detection, and timestamped lyrics.
A local MCP server for extracting YouTube video transcripts, metadata, and performing visual analysis using Gemini Vision or local Whisper models. It enables users to process video content through various tools for subtitle retrieval and frame analysis.