MCP Server Connects Claude to Room EQ Wizard for Studio Acoustics Analysis

✍️ OpenClawRadar📅 Published: March 15, 2026🔗 Source
MCP Server Connects Claude to Room EQ Wizard for Studio Acoustics Analysis
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A developer has built an MCP server that connects Claude AI to Room EQ Wizard (REW), the standard tool for room acoustics measurement. Instead of manually interpreting frequency response graphs, Claude can now perform the analysis and guide users through fixing their room acoustics.

What It Does

When you ask Claude to "help me calibrate my studio monitors," the system:

  • Connects to REW's API and configures audio devices
  • Checks microphone levels and calibrates monitors to 85 dB SPL reference
  • Runs Left, Right, and Sub measurements
  • Analyzes room modes, SBIR, reflections, and L/R symmetry, explaining results in plain language
  • Shows what Genelec GLM's DSP actually fixed versus what it physically cannot address
  • Provides one recommendation at a time, has users re-measure after each change, and validates improvements
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Technical Details

The server includes 27 MCP tools total covering measurement control, signal generator, SPL meter, real-time analyzer, and EQ management. Claude can run entire measurement campaigns autonomously.

For Claude Code users, there's a bonus plugin with:

  • /rew:calibrate, /rew:analyze, /rew:optimize, and /rew:status commands
  • Two auto-activating skills (room acoustics domain knowledge + workflow orchestration)
  • A measurement quality reviewer agent that proactively checks data
  • A workflow enforcement hook that warns if steps are skipped

Setup

Installation is one line:

npx rew-mcp

Claude Desktop configuration:

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

The project is open source under MIT license with 884 tests available on GitHub. This implementation demonstrates how MCP can give Claude real-time access to measurement hardware and domain-specific analysis tools, enabling complete feedback loops (measure → analyze → recommend → validate) that would normally require hours of manual work.

📖 Read the full source: r/ClaudeAI

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