A video, audio, and text extraction server based on the MCP protocol, supporting video downloads from multiple platforms and using the Whisper model for speech-to-text processing

This project enables large language models to directly understand and generate audio effect modules in the Max audio processing software through the Model Context Protocol (MCP). It supports explaining, modifying, and creating audio effect modules and provides an interaction interface with LLMs.

This project integrates Claude AI with Pure Data through the Model Context Protocol, supporting dynamic creation, modification, and control of Pure Data audio processing modules through natural language.

A high-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription capabilities, supporting batch processing, multiple model sizes, and multiple output formats.

The MCP Audio Server is a model context protocol service for audio processing and chord analysis, providing functions such as audio decoding and music analysis (including rhythm, key, and chord analysis), and supporting RESTful API and containerized deployment.

MCP Server Whisper is an audio processing server based on OpenAI Whisper and GPT - 4o models, providing advanced audio transcription, format conversion, batch processing, and text - to - speech functions. It enables seamless interaction with AI assistants through the Model Context Protocol standard.

A complete Groq MCP Server project that serves as an intelligent bridge to connect applications with the Groq API, supports multiple AI models (text, audio, vision, batch processing), and has advanced functions such as intelligent routing, rate limiting, and cache optimization.