The Audio File MCP App, developed by Counterpoint Studio, is an MCP server tool built with TypeScript. It functions as an npm package, designed to connect with MCP hosts or clients. This app provides capabilities for playing and inspecting local audio files, presenting an in-conversation user interface. It is particularly useful for users of AI clients who need to analyze and interact with audio data directly within their workflow, enhancing their ability to process and understand audio content.

What does Audio File MCP App connect to?

The Audio File MCP App connects to an MCP host or client, operating as an MCP App. It is designed to play and inspect local audio files directly within the connected host or client environment. The application renders an in-conversation user interface, making it an integrated part of the user's interaction with the MCP system. It supports the stdio transport protocol and is confirmed compatible with Claude Desktop and Codex Desktop AI clients.

Core features and tools

The app exposes various data points to the model, rather than specific callable functions. These include file metadata, loudness statistics such as Integrated Loudness, Loudness Range, True Peak, Sample Peak, RMS, Momentary, and Short-Term LUFS. It also provides the current playhead position, any selected region (start/end), and active annotation lanes. Visualization includes waveform coloring, reassigned spectrograms, and annotation-lane timelines.

Who is it for?

This tool serves users of AI clients who require interaction with and analysis of local audio files. It is particularly valuable for individuals engaged in audio analysis or content creation workflows. The app supports tasks like playing and inspecting audio, analyzing properties such as global and instantaneous loudness metrics, and visualizing audio data. Skip this if you do not work with AI clients needing local audio file interaction.

How to get started

No credentials are required. Setup involves configuring the MCP client (e.g., Claude Desktop or Codex Desktop) to launch the server using the command "npx -y @counterpoint-studio/audio-file-mcp-app", which supports the stdio transport protocol.

Use cases

• Playing and inspecting local audio files.
• Analyzing audio properties like global and instantaneous loudness metrics.
• Visualizing audio with waveform coloring, reassigned spectrograms, and annotation-lane timelines, allowing AI models to refer to what the user is hearing and seeing for follow-up tasks.

The Audio File MCP App provides a focused solution for AI client users to interact with and analyze local audio files. Its ability to expose detailed audio metadata and visualization data directly to AI models supports advanced audio processing workflows. The app integrates directly into MCP client environments, offering a direct way to work with audio.