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Audio Calibration MCP

作者:daredoole版本 0.2.0-beta.1i★ –i在你的电脑上运行
注册名称io.github.daredoole/audio-calibration-mcp

安装

概览

作者提供的说明(英文原文)

Evidence-bound REW measurement, analysis, conservative EQ, DSP, and listening-test tools.

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 …”。

下载作者的 .mcpb 文件

链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。

在终端中运行这条命令

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。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 daredoole 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 2204 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2204 个服务器的 26% 更新
  • 基础检查结果等于或优于此分类中其他 2204 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 Calibration MCP 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(0.2.0-beta.1)于2个月前进入注册中心。

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 MCPB。

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:★ 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

作者:GLips

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

在你的电脑上运行★ 16,165MIT5个月前更新
安装

Claude Real Video

作者:HUANGCHIHHUNGLeo

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

在你的电脑上运行★ 2,284MIT2个月前更新
安装

Figma MCP Server

作者:figma

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

在云端运行★ 2,15213个月前更新
安装

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 Calibration MCP

Audio Calibration MCP is a local-first, cross-platform Model Context Protocol server for Room EQ Wizard (REW). It guides acoustic measurement, speaker and room calibration, subwoofer and crossover analysis, conservative EQ, DSP deployment, and measured verification for general, powered-speaker, car, and laptop audio systems.

You use it from an AI assistant such as Codex, Claude Code, or Cursor on the same computer as REW. MCP is the connection that lets the assistant call these tools; this project is not a separate calibration app. REW does the measuring, and your DSP or receiver applies the changes it supports.

This project does not promise universally “perfect” sound. REW can measure an acoustic system; it cannot infer listener preference, microphone placement, or a speaker's safe output capability without evidence. The MCP reports missing data and keeps preference separate from engineering calculations.

Start here

New to MCP? Follow the written walkthrough. It covers what you need, how to install and connect the tools, and how to analyse your first REW measurement. You can begin with measurements you already have.

  • Install with Codex, Claude Code, or Cursor
  • Before and after: the measured example and its limits
  • Troubleshooting

The MCP is free and open source. Your chosen assistant has its own account and billing requirements. Automated REW sweeps through the API require a REW Pro license; reading existing measurements does not require automated sweep control. See REW's API documentation.

Choose the right audio MCP

Use this project when you needUse EvoBurrow MCP when you need
General REW acoustic measurement and evidence-based EQA1 Evo AcoustiX artifact inspection or terminal workflows
Room, speaker, subwoofer, car, powered-speaker, or laptop calibrationDenon/Marantz AVR status, preset mapping, backup, or guarded LAN control
JamesDSP, CamillaDSP, Equalizer APO, FIR, or listening-test workflowsAudyssey .ady/.oca review tied to live receiver state

The projects share measurement discipline, but this MCP deliberately stays hardware-neutral; EvoBurrow owns the A1 and AVR-specific safety boundary.

Measured laptop example — before and after

This is measured evidence from four repeated REW sweeps per state, averaged with 1/12-octave smoothing. Factory is amber and the cut-only JamesDSP preset is cyan. The shaded area below 500 Hz marks the protection-limited bass region where no boost was applied. The plot preserves measured SPL; preference was assessed in a separate level-matched listening comparison. Device, microphone, and preset identifiers are intentionally removed from the public artifact.

See the example explained for what this plot shows, what it does not establish, and how to compare changes on your own system.

Compatibility

ComponentSupport
Node.js20 and 22
Operating systemsWindows x64, macOS Intel/Apple Silicon, Linux x64/ARM64
REWLocal API on port 4735; cross-platform install discovery and confirmed startup
JamesDSPLinux/JDSP4Linux inspect, preview, backup, apply, verify, rollback, blinded level-matched A/B
Equalizer APOExport; guarded apply when an explicit config path is configured
CamillaDSPYAML export; guarded file apply when explicitly configured
miniDSPREW-compatible text export; no hardware mutation in the beta
A1 Evo/DenonOptional separate bridge; no AVR assumptions in this plugin

Install

Follow the installation guide for release downloads, absolute file paths, and the configuration for your assistant. Codex uses config.toml; the repository's .mcp.json is not automatically loaded by the Codex CLI. The guide gives an explicit registration command.

For a source checkout:

npm ci --ignore-scripts

npm run build npm test npm run validate:release

The checked-in MCP configuration starts the self-contained dist/server.mjs. The packaged CLI is also bundled, and the published artifact declares zero runtime npm dependencies. Third-party build inputs are exact-pinned and installed with lifecycle scripts disabled. Run rew_install_discover to locate REW through a user override, the AUDIO_REW_EXECUTABLE environment variable, PATH, and conventional Windows, macOS, or Linux locations. If discovery fails, pass the absolute executable path (or REW.app on macOS) to that tool or rew_launch_plan. Starting REW requires the matching rew_launch_execute confirmation. Startup is verified against the API on http://127.0.0.1:4735; override AUDIO_REW_URL only for a trusted local network endpoint. REW's API still must be enabled in REW itself.

Guided workflow

The beginner walkthrough uses ordinary prompts and explains what to expect. The steps below are the tool sequence for users who want to work directly with the MCP interface.

  1. Run audio_doctor. If REW is offline, use rew_install_discover, then the confirmed rew_launch_plan/rew_launch_execute pair. Continue with rew_capability_negotiate and audio_guided_session_plan.
  2. Inventory the host, REW, microphone calibration, output route, and DSP state.
  3. Create a protected repeated-session plan. Audible execution requires fresh microphone-placement, area-clear, and route/safety confirmation.
  4. Save separate raw traces, then run quality, dual-resolution, direct/late, crossover, distortion/compression, and human-listening analyses.
  5. Prefer placement, polarity, timing, crossover, and stable cut-first EQ.
  6. Apply only a hash-bound confirmed plan with backup and rollback.
  7. Re-measure at matched level. Start audio_post_eq_verification, then poll audio_job_status; the verifier derives level difference from the traces. Predicted response and caller-claimed level matching are never acceptance evidence.
  8. Use randomized, level-matched A/B or ABX for preference/discrimination. On JamesDSP, jamesdsp_ab_plan plus its presentation and restore executors switch presets and host volume transactionally without revealing assignments.

Analysis views

Reports preserve the source trace and display native unsmoothed data, derived engineering resolution, 1/48-octave structure, adaptive modal-to-perceptual smoothing, and ERB/perceptual views. Filters are eligible only when features are stable across repetitions and held-out data. Narrow/spatial nulls are not boosted.

audio_report_plan can also accept two to four repeated comparison groups. It averages each state, preserves ±1 SD, calculates the measured level difference, and exports Markdown, HTML, JSON, and a standalone labeled SVG suitable for a README. Missing SNR rejects the quality gate by default; exploratory callers must explicitly opt out with requireSnr: false.

Privacy

There is no telemetry. Local sessions may contain usernames, absolute paths, device names, room coordinates, microphone hashes, and preset fingerprints. Never publish measurements/, sessions/, backups/, profiles/, reports/, or filters/ directly. Use the redacted support-artifact tools and review the result before sharing it.

Development and validation

npm test is hardware-independent. npm run coverage exercises deterministic DSP and safety fixtures. npm run validate:release checks manifests, metadata, the bundled server, and package contents. Real-system smoke tests are opt-in and must never run in ordinary CI.

REW requests are bounded to four concurrent calls by default. Set AUDIO_REW_MAX_CONCURRENCY from 1–8 only when the local REW instance has been validated at that concurrency.

See SECURITY.md, CONTRIBUTING.md, and CHANGELOG.md. Licensed under the MIT License.

Measurement-science laboratory modules

Bounded tools cover GUM-style uncertainty budgets and Monte Carlo propagation, bootstrap repeatability, complex-transfer coherence and phase confidence, ISO-3382-aligned room screening, exploratory polar/directivity scans, clean-output ladders, held-out-seat complex multi-source optimization, regularized FIR proposals, controlled listening trials, immersive/SOFA metadata preflight, and reference-corpus auditing.

Screening, inspired, and standards-aligned never mean certified conformity. ISO, IEC, ANSI/CTA, AES, and ITU conformity requires the complete current normative document, prescribed setup and processing, calibrated instrumentation, and traceable evidence. Optimization and FIR outputs remain proposals until protected, level-matched hardware remeasurement accepts them.

Curated external datasets

audio_dataset_catalog exposes reviewed metadata for selected SADIE II, FLAIR, MeshRIR, and RAVes artifacts without downloading them. Dataset acquisition uses a hash-bound plan/execute pair, requires license acknowledgement, enforces an exact byte ceiling, accepts only pinned Zenodo HTTPS URLs, refuses overwrites, checks the upstream checksum, calculates SHA-256, and writes a provenance receipt under the workspace datasets/ directory.

Remote entries and checksum-verified downloads are not automatically scientific validation. Readiness is calculated per domain and requires parsed, method-compatible references from at least two independent institutions with justified tolerances.

Laptop calibration

Laptop speakers remain fully supported, but this is the least general workflow and is intentionally documented last. Laptop mode starts at 120 Hz and -30 dBFS by default. Stop immediately on an unexpected route, silence, clipping, limiter activity, rattling, or distress.

Support the project

Audio Calibration MCP is free and open source. If it saves you time or improves your system, you can buy daredoole a coffee.

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