原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Audio File MCP App

作者:counterpoint-studio版本 1.1.1i★ –i在你的电脑上运行
注册名称io.github.counterpoint-studio/audio-file-mcp-app

安装

概览

作者提供的说明(英文原文)

Inspect local audio files — playback, metadata, loudness, spectrogram.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 设计、图片与音频

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "audio-file-app": {
      "command": "npx",
      "args": [
        "-y",
        "@counterpoint-studio/audio-file-mcp-app"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add audio-file-app -- npx -y @counterpoint-studio/audio-file-mcp-app

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "audio-file-app": {
      "command": "npx",
      "args": [
        "-y",
        "@counterpoint-studio/audio-file-mcp-app"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "audio-file-app": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@counterpoint-studio/audio-file-mcp-app"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 counterpoint-studio 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2782 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2782 个服务器的 48% 更新
  • 基础检查结果等于或优于此分类中其他 2782 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Audio File MCP App 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.1.1)于30天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

作者:GLips广泛使用↓ 16.1万/周★ 1.6万5个月前更新

在你的电脑上运行

Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

作者:HUANGCHIHHUNGLeo广泛使用↓ 1106/周★ 22842个月前更新

在你的电脑上运行

Figma MCP Server

The Figma MCP server brings Figma design context directly into your AI workflow.

作者:figma正在增长★ 215213个月前更新

在云端运行✓ mcp.figma.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Audio File MCP App

An MCP App for playing and inspecting local audio files in an MCP host.

Renders an in-conversation UI with playback, metadata, loudness, a spectrogram, and an optional annotation-lane timeline.

File metadata, loudness statistics, the current playhead position, any selected region, and the annotation lanes active at the playhead are also exposed back to the model, so follow-up tasks can refer to what the user is actually hearing and looking at.

Features

  • Global loudness metrics computed to EBU R128: Integrated Loudness (LUFS), Loudness Range (LRA), True Peak (dBTP), Sample Peak, and RMS.
  • Instantaneous loudness metrics while playing or hovering: Momentary (400 ms) and Short-Term (3 s) LUFS, plus sample-peak and RMS at the cursor position.
  • Waveform colouring by spectral centroid — each waveform slice is shaded along a tonal ramp using a low/mid/high band-energy ratio, so bright/dark regions read at a glance as bright/dark sound.
  • Reassigned spectrogram with log-frequency bins (20 Hz floor) and an Inferno colour scale; time-frequency reassignment sharpens transients and tonal partials beyond what a plain STFT shows.
  • Looping region selection. Drag on the timeline to mark a region; playback loops over it, and the region's start/end are passed back to the model alongside the file's loudness and playhead state.
  • Annotation-lane timeline. Supply timeline annotations and the widget draws a stack of thin labelled lanes between the waveform and spectrogram, aligned to the audio's own timeline. Each lane carries time spans, an optional colour, and an optional envelope that fades span opacity along the lane. Hovering a span reveals its label, and the lanes active at the playhead — plus those starting, ending, or active within a selected region — are reported back to the model.

Install

The server runs locally over stdio. Every install path below configures the same command: npx -y @counterpoint-studio/audio-file-mcp-app.

Claude Desktop

Easiest: grab the latest .mcpb from the Releases page and double-click it. Claude Desktop has Node bundled, so no extra runtime is needed.

Or add the server by hand to claude_desktop_config.json:

{

"mcpServers": { "audio-file": { "command": "npx", "args": ["-y", "@counterpoint-studio/audio-file-mcp-app"] } } }

Codex Desktop
  1. Go to Settings -> MCP Servers
  2. Add Server
  3. Name: audiofile-mcp-app
  4. Command to launch: npx
  5. Arguments -y and @counterpoint-studio/audio-file-mcp-app
VS Code (Copilot, Agent mode)

Or add to .vscode/mcp.json (workspace) or your user mcp.json:

{

"servers": { "audio-file": { "type": "stdio", "command": "npx", "args": ["-y", "@counterpoint-studio/audio-file-mcp-app"] } } }

Goose

Paste this deep link into your browser (Goose Desktop must be installed; the custom URI scheme can't be a real link in a GitHub README):

goose://extension?id=audio-file&name=Audio%20File%20MCP%20App&cmd=npx&arg=-y&arg=%40counterpoint-studio%2Faudio-file-mcp-app

Or run goose configure → Add Extension → Command-line Extension and enter npx -y @counterpoint-studio/audio-file-mcp-app.

MCP Inspector
npx @modelcontextprotocol/inspector npx -y @counterpoint-studio/audio-file-mcp-app

Usage

Ask the host to show you a local audio file by its absolute path. For example:

"Show me /Users/me/Music/track.wav"

The host calls the display_audio_file tool, which renders the in-app UI with waveform, spectrogram, loudness metrics, and playback transport.

Annotation lanes

display_audio_file accepts an optional annotations object describing lanes to draw on the timeline (or an annotationsPath pointing at a JSON file with the same { "lanes": [...] } shape — handy for large payloads):

{

"annotations": { "lanes": [ { "label": "Delay tails", "color": "#e6007e", "spans": [{ "start": 8, "end": 24 }], "envelope": [ { "time": 8, "value": 0 }, { "time": 24, "value": 1 } ] } ] } }

Times are in seconds on the audio's own timeline. label, color, and envelope are optional; a lane with an envelope fades its span opacity along the envelope curve, and uncoloured lanes use a light-accent fill. Overlapping spans in a lane are truncated at the next span's start so rows never overlap. The model can author annotations to point out sections, mark events, or visualise an analysis it just ran.

Security model

  • The server runs locally over stdio, with your user account's permissions.
  • display_audio_file opens any file path it is given, by design, but only accepts files recognised as audio.
  • The player streams the file through a byte-range resource (audiofile-range://…). It returns bytes only of files recognised as audio; anything else, including a path that doesn't exist, gets the same "Not a recognised audio file" error.
  • annotationsPath reads a JSON file you name, and only uses it if it matches the annotation format.
  • Tool errors are specific on purpose, so you can see what went wrong: they can reveal whether a named path exists, is a regular file, or (for annotationsPath) is valid JSON in the annotation format. They never include the file's contents.
  • What remains: a model that can call tools can open any audio file on your machine. Hosts that ask for approval before tool calls are the control for that.

To report a vulnerability, see SECURITY.md.

Client compatibility

Tested and known to work in:

  • Claude Desktop — Chat, Cowork, and Code
  • Codex Desktop
  • Visual Studio Code
  • Goose
  • MCP Inspector

Development

pnpm install

pnpm run build:dsp # emsdk required; see WASM-BUILD.md pnpm run serve # runs the server with tsx, no compile step pnpm test

pnpm run build:dist produces the publishable layout under dist/ (dist/mcp-app.html + dist/server/).

Releasing

pnpm version <bump>          # bumps every version string (package.json, server.json,

mcpb/manifest.json, src/server/app.ts) + commits + tags

git push && git push --tags source /path/to/emsdk_env.sh # prepublishOnly rebuilds the DSP code with Emscripten pnpm publish --access public # publishes to npm gh workflow run publish-registry.yml -f tag=v # MCP Registry, once npm shows the version pnpm run build:mcpb # produces dist/audio-file-mcp-app- .mcpb gh release create v dist/*.mcpb # attaches the bundle to a GitHub release

npm can hold a new version in validating for up to an hour before it appears. The registry checks the npm package, so run the registry workflow only after npm view @counterpoint-studio/audio-file-mcp-app version shows the new version.

The MCP Registry is published from GitHub Actions (.github/workflows/publish-registry.yml) because the interactive mcp-publisher login github only grants a personal namespace, not io.github.counterpoint-studio/*.

License

ISC © Counterpoint Studio OÜ

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