"How to work with local files" matching MCP servers:

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

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

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

Provides on-device Chinese speech recognition with traditional Chinese (Taiwan) output via MCP server, HTTP API, and CLI, ensuring privacy by processing audio locally without uploading to cloud services.

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 AI agents to analyze local or URL-hosted audio files with TrackTag, returning professional music metadata such as BPM, key, genres, moods, and 35+ fields. Runs locally on your machine, using your TrackTag API key and credit balance for analyses.

Enables AI assistants to transcribe audio and video from URLs or local files with high accuracy, speaker diarization, 119 languages, and word-level timestamps, while also supporting transcription management and caption export in SRT, WebVTT, or plain text.

Remove vocals, extract instrumentals, and split any song into up to six stems — directly from Claude Desktop, Cursor, or any MCP client. Supports local audio files, YouTube URLs, and SoundCloud track

Turns text into local audio files (MP3) via OpenRouter speech models, enabling AI coding agents to generate voiceover narrations for video production.

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

Enables local analysis of PCM WAV files to produce bounded audio observations such as activity segments, clipping indicators, duration, sample rate, peak, and RMS level without uploading recordings.

Local multimodal MCP server for vision, document, audio, video, and GUI automation, all processed locally on Apple Silicon for privacy and security.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

MCP server that transcribes songs into multi-track General MIDI files, identifying instruments and structuring tracks. Accepts audio files and manages transcription jobs with queue and ETA.

MCP server providing 115 tools to control the Windy Word voice-to-text desktop app, enabling paste, hotkeys, transcription, recording, and many other operations.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

Enables high-quality transcription and subtitle generation from local media files or URLs using Faster Whisper on local hardware. It supports automatic language detection and integration with MCP clients for seamless speech-to-text workflows.

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.

MCP server integrating VolcEngine for automatic speech recognition (ASR) and text-to-speech (TTS), converting audio to text or text to audio files.