"Understanding Reverse Processes or Reverse Engineering" matching MCP servers:

Enables local video inspection and offline transcription with timestamped JSON and Markdown output, enforced filesystem boundaries, and reproducible content-addressed caching.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

Enables AI agents to analyze, summarize, and extract text from videos and images using the Qwen3-VL-8B-Instruct model deployed on Blaxel. It supports media analysis via URL, including video Q\&A and speech transcription capabilities.

Enables users to generate music, manage LoRAs, recordings, and studio workflows through MCP tools.

Enables Claude to build and edit multitrack sessions from audio files and synth or drum notes, apply effects, busses and fades, and render mixdowns with loudness measurement, stems, MIDI and session files. It also processes and converts existing audio, and reports format, loudness and waveform details for files or sessions.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Lets MCP clients such as Claude Code, Claude Desktop and Cursor generate background music, instrument loops and sound effects locally on Windows from plain-language prompts. It also edits and processes the results — variations, inpainting, extension, trimming, loudness normalization, seamless looping and WAV/OGG/FLAC export for game engines and video editors.

Provides local MCP tools to search and retrieve CC0 sound effects by keyword, category, duration, or ID, along with metadata, previews, and WAV/MP3 download URLs.

Enables controlling a Teenage Engineering EP-133 K.O. II via natural language, converting plain language into MIDI commands for triggering pads, playing scales, and sequencing patterns.

Exposes the program's push-to-talk transcript history to MCP clients such as Claude Desktop and Claude Code, letting them fetch recent or latest transcripts, query results by time window, range, or ISO timestamp, search text, look up records by id, and read counts, runtime status, or clear history. Each result carries millisecond-precision hold start/end timestamps alongside the transcribed text.

Enables MCP clients to speak text aloud on macOS using the built-in say command, with no external speech API or keys, and to list available voices and control rate or voice selection. Requests from multiple client threads share a single FIFO playback worker, so speech plays one item at a time and can be inspected, stopped, or muted in hold or discard mode.

Transcribes YouTube videos or audio files to Markdown, plain-text, and Word documents.

Enables AI agents to submit and manage durable long-form audio transcription jobs, and read or export structured transcripts via MCP tools.

Plays built-in Windows system sounds or WAV files to notify users when tasks finish or need attention, using the winsound module. Provides a single play_sound tool with presets and customizable file paths, repeats, and intervals.

MCP server + web dashboard for TouchDesigner. Inspect, optimize, and control TD patches from Claude Code or the browser.

Exposes audio processing tools (inspect, normalize, trim, fade, gain, filter, speed, reverse) as MCP tools, enabling Claude to manipulate WAV files through natural language commands.

Enables MCP-capable agents to control a running LMMS session to compose, arrange, mix, and export music, including creating tracks, editing notes, loading presets and samples, automating parameters, and rendering audio or MIDI.

Local MCP server for macOS that captures microphone input and/or system audio output into explicit, user-defined sessions and exposes the raw WAV audio to AI agents through MCP tools.

MCP server that enables audio transcription from files (wav, mp4, mp3, flac) or microphone recording, with dynamic tool selection and enterprise-grade security.