Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.

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

FastMCP is a TypeScript-based framework for building MCP servers that support client sessions. It provides simple definitions for tools, resources, and prompts, supports functions such as authentication, session management, returning image and audio content, logging, error handling, SSE communication, etc., and includes CLI tools for testing and debugging.

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.

An AI voice call system based on the MCP protocol that uses VoIP technology to enable AI assistants like Claude to automatically make calls and conduct intelligent conversations. It supports multiple SIP protocols and audio codecs.

An audio transcription MCP service based on MLX Whisper, supporting transcription of local files, Base64 audio, and YouTube videos, optimized for Apple M-series chips.

A powerful MCP server for video and audio processing based on FFmpeg, supporting various media processing functions such as format conversion, compression, editing, audio extraction, and subtitle addition, and can be operated through natural language instructions

A text-to-speech MCP server based on the Rime API, providing system audio playback functionality.

MCPollinations is a multimodal AI service based on the Model Context Protocol (MCP) that supports generating images, text, and audio through the Pollinations API. It offers a lightweight service that does not require authentication, is compatible with multiple AI models, and supports image saving and Base64 encoding return.

A production - ready MCP server that enables AI - driven music generation through Strudel.cc, providing complete browser automation control, real - time audio analysis, and pattern generation functions.

Speech MCP is a voice interaction extension designed for Goose, providing real-time voice recognition, text-to-speech, and audio visualization functions.

An audio analysis tool based on MCP and librosa, supporting the analysis of local files, YouTube links, and audio links.

An audio-to-text MCP server based on the OpenAI API, providing audio transcription functionality and supporting multiple configuration options.

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.

This project implements an MCP server that interacts with the Audacity audio editor through a named pipe, providing remote control functions (such as recording, playback, etc.), and supporting running with the uv tool and integration with the Claude desktop client.

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

Pixeltable's multi-modal model context protocol server set provides indexing and querying functions for audio, video, images, and documents

A text-to-speech server project based on the MCP protocol, which implements speech synthesis functionality through the Groq API and supports multiple audio format outputs.

A multimodal MCP server based on the Pollinations API, supporting the generation of image, text, and audio content

An MCP server that provides audio input and output functions for AI assistants

An MCP server that connects AI assistants and Pro Tools through the PTSL gRPC API, providing functions such as session management, timeline navigation, and audio analysis, with fine - grained permission control and security protection mechanisms.

An MCP server for seamless integration with computer peripherals, providing a unified API to control, monitor, and manage hardware devices, including cameras, printers, audio devices, and screens.

yt-dlp-mcp is an MCP server implementation integrating yt-dlp, providing video and audio content download functions for LLMs and supporting multiple platforms such as YouTube, Facebook, and TikTok.

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.

RAGStack-Lambda is a serverless AI document and media processing platform based on AWS Lambda. It supports uploading documents, images, videos, and audio, builds a knowledge base through OCR, transcription, and vectorization technologies, and provides an AI chat function with source traceability. It adopts a pay-as-you-go architecture with zero idle costs.

Audio transcription MCP service based on the OpenAI API

Flyworks MCP is a free and fast zeroshot lipsync tool that automatically synchronizes the lips of digital human videos with audio through an API interface and supports various styles of digital avatars.

A powerful YouTube content access MCP server that provides full access to video transcription, metadata, comments, screenshots, and audio clips, supporting both the desktop and web versions of Claude.

mcp-audio is an MCP plugin compliant with the AIO-2030 standard, providing speech-to-text functionality and supporting multiple audio formats and API call methods.

The REAPER MCP Server is a comprehensive model context protocol server that enables AI agents to create fully mixed and mastered audio tracks in REAPER, supporting MIDI and audio functions.

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

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.

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.

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.

An MCP server based on Google Gemini AI that provides image, audio, and video recognition functions, supporting multiple transmission methods and client integration.

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.

An MCP service that allows Claude to control audio playback on the computer

Rime MCP is a text-to-speech service based on the Rime API, which realizes voice synthesis and playback functions through the system's native audio player.

An MCP server for VOICEVOX voice synthesis, providing queue management and preloading features, supporting text-to-speech and audio file generation.