"Understanding Workspace Control Systems or Tools" 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 control of OBS Studio via MCP, including media source playback, scene management, audio mixer adjustments, and screenshot capture, using OBS's WebSocket v5 protocol.

An MCP bridge that enables AI agents to read and control Ableton Live sessions with read-back verification, including tracks, clips, transport, devices, and third-party plug-in parameters.

Local MCP bridge for Bitwig Studio, enabling read-back-verified control of tracks, devices, transport, and plug-in parameters via any MCP client.

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 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.

An MCP server enabling video processing via natural language: transcription with Whisper, segment cutting with FFmpeg, and file management.

Enables AI-assisted MIDI music generation and composition through natural language, supporting style, tempo, key, and instrument selection.

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 AI assistants to control Pro Tools via the PTSL gRPC API, providing session management, timeline navigation, track control, clip management, editing, markers, transport, audio analysis, and more.

Enables remote control of audio playback and system volume on a Raspberry Pi via the Model Context Protocol (MCP).

Enables users to convert YouTube videos to MP3 format with optional trimming capabilities through the Youtube Mp36 API.

An MCP server that integrates with fal.ai to provide AI agents with tools for image generation, text processing, audio synthesis, and model management via a unified interface.

A Model Context Protocol server that enables AI agents to create fully mixed and mastered tracks in REAPER DAW, supporting project management, MIDI composition, audio recording, and mixing automation.

Enables downloading MP3 audio files from YouTube videos by providing a YouTube URL through the Youtube Mp310 API.

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

Enables pay-per-call access to 90+ generative AI models and utility tools via any MCP client, with no signup or API key, using wallet-based USDC payments on Base, Tempo, or Solana.

Render, analyze, and verify audio (WAV or FLAC) through a fully offline, deterministic engine, exposed as MCP tools for AI agents.

Enables AI models to speak and sing using retro-style formant speech synthesis, converting text or phoneme strings to WAV audio via MCP tools.