The official ElevenLabs MCP server provides the ability to interact with text - to - voice and audio processing APIs

A TikTok video processing server based on the MCP protocol, supporting watermark-free video download, audio extraction, and text conversion functions.

The enhanced Markdownify MCP UTF-8 is a Markdown processing service that supports multilingual content conversion. It optimizes UTF-8 encoding support, provides Markdown conversion capabilities for various formats such as PDF, images, audio and video, and Office documents, and is specifically optimized for the Windows system.

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

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, offering multiple transcription service options, with flexible configuration and high - efficiency processing capabilities.

A Python MCP server designed for BirdNet-Pi, providing bird detection data management and analysis functions.

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, providing multiple transcription service options.

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 video processing server based on Node.js and FFmpeg, providing video transcoding and audio extraction functions

Content Core is an AI-driven, multi-functional content extraction and processing platform that supports content extraction from various sources such as web pages, documents, audio and video, and provides functions such as intelligent cleaning and summary generation. It supports multiple integration methods such as the command line, Python libraries, and MCP services.

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.

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.

A powerful video editing MCP server that provides comprehensive video and audio editing functions, supports chained operation processing, and seamless integration into MCP clients.

VideoCutter is a professional multimedia tool that integrates video, audio, and image processing. It supports AI - intelligent editing and the MCP protocol, providing a one - stop intelligent creation solution.

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.

This project is a collection of multimodal model context protocol servers by Pixeltable, providing indexing and querying services for audio, video, images, and documents, and supporting local Docker deployment.

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.

The REAPER MCP Server is a project that exposes the functions of the REAPER Digital Audio Workstation through an API interface. It uses a Lua - Python hybrid architecture, supports file or socket communication methods, and provides 756 tools covering multiple areas of audio processing.