"Compare all differences between two source code folders, including binary files" matching MCP servers:

Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.

MCP server that brings ElevenLabs to Claude Code — text-to-speech, sound effects, music generation, voice cloning, speech-to-speech, transcription, and voice isolation. 8 tools for industry-leading AI audio.

MCP server for Spotify that lets AI agents search music, control playback, and manage playlists via the Spotify Web API.

Connects any MCP-compatible AI assistant to Audacity, providing 132 tools for real-time audio editing, cleanup, mastering, and transcription — all running locally without cloud dependencies.

Enables agents to synthesize Chinese speech with Edge-TTS or offline Piper and generate engine-level timestamp SRT subtitles, including batch parallel synthesis and voice presets.

Enables local, CPU-only audio post-production through tools for denoising, LUFS loudness normalization, silence removal, format conversion, pitch shifting, and speed changes. Supports podcast and video platform loudness compliance workflows.

Enables creators to generate short-video voiceover scripts with platform-adapted hooks, key points, and closings, search a golden-quote library, split copy into subtitle lines with estimated timelines, get topic suggestions, and turn a topic into TTS audio plus SRT subtitles in one command. Runs fully locally and offline as part of a Chinese content-creation MCP suite.

Transcribe audio/video files using Groq-hosted Whisper with word-level timestamps, automatic caching, and cost estimation, offering up to 9x savings over OpenAI Whisper.

An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.

Official MCP server for Rendobar. Lets AI agents run serverless media processing and upload local files.

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

MCP server for SpeechWeave transcription, enabling AI assistants to transcribe local files and URLs via wait-first or async tools.

Generates room impulse responses as WAV files from natural language descriptions, enabling agents to create realistic or arbitrary reverb for audio production.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables MCP-capable assistants to transcribe local audio files or URLs and perform speaker diarization for Spanish and Portuguese audio, with options for speaker count hints, domain prompts, and transcript retrieval in multiple formats.

Enables audio transcription to multi-instrument MIDI files using MuScriptor, supporting local files and HTTPS URLs with safety controls.

Local, private audio transcription MCP server enabling AI agents to transcribe audio files entirely on-device without uploading data.

Enables transcription, summarization, and action item extraction from audio files on your Mac using MacWhisper and Claude Desktop, all locally without any cloud APIs.

Enables Claude Desktop to generate Gemini text-to-speech audio, save .wav files locally, and manage generated audio files through MCP tools.

Provides access to a database of over 8,800 headphones and IEMs for equalization settings, sound signature analysis, and Harman preference scores. It enables AI assistants to search, compare, and recommend headphones based on frequency response measurements and parametric EQ profiles.