koltyj/rew-mcp

AI驱动的房间声学分析用于录音室监听

一个模型上下文协议服务器，连接Claude与房间均衡向导，将原始测量数据转化为可操作的声学指导。

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这是什么？

REW MCP 服务器让大型语言模型控制室均衡向导分析您的测量数据，并一步步、一次推荐一个建议，指导您完成房间处理和扬声器布置。

你不用盯着图表看，而是得到答案：

“你在83 Hz时有一个12 dB的空零，是由于扬声器边界干扰引起的。你的监听单元距离后墙0.97米——把它们移到1.4米或0.6米，以将抵消频率移出临界听觉范围。GLM无法解决这个问题;这是物理问题。”

关键能力

• 引导校准 — 麦克风增益分级、声压频段校准至85 dB参考、左右/低音测量会话
• 纯语言分析 — 房间模式、SBIR、反射、对称性问题，并附有原因和修复方法
• GLM 透明度 — Genelec DSP 修正了哪些，哪些是物理上无法修正的

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What is this?

REW MCP Server lets an LLM control Room EQ Wizard, analyze your measurements, and coach you through room treatment and speaker placement — step by step, one recommendation at a time.

Instead of staring at graphs, you get answers:

“You have a 12 dB null at 83 Hz caused by speaker boundary interference. Your monitors are 0.97 m from the rear wall — move them to 1.4 m or 0.6 m to shift the cancellation frequency out of the critical listening range. GLM cannot fix this; it’s a physics problem.”

Key capabilities

• Guided calibration — Mic gain staging, SPL calibration to 85 dB reference, L/R/Sub measurement sessions
• Plain language analysis — Room modes, SBIR, reflections, symmetry issues explained with causes and fixes
• GLM transparency — What Genelec’s DSP corrected vs what it physically cannot
• Placement optimization — One change at a time, measure after each, validate the improvement
• 27 MCP tools — Full programmatic control of REW’s API: measurements, signal generator, SPL meter, RTA, EQ, and more

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Getting Started

Requirements

• Node.js 20+
• Room EQ Wizard running with API enabled (-api flag or Preferences)
• Measurement microphone (calibrated preferred — UMIK-1, UMIK-2, etc.)

Install

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "rew-mcp": {
      "command": "npx",
      "args": ["-y", "rew-mcp"]
    }
  }
}

Claude Code

claude mcp add rew-mcp -- npx -y rew-mcp

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