Autoeq Mcp

pip install autoeq-mcp

An MCP (Model Context Protocol) server that gives AI assistants access to the AutoEQ headphone equalization database — 8,800+ headphones and IEMs with parametric EQ settings, sound signature analysis, and Harman preference scores.

한국어 README

What It Does

Ask your AI assistant things like:

- "Get me the EQ settings for the HD650"
- "Compare the HE400se and HD600"
- "Recommend warm-sounding over-ear headphones"
- "What are the top-ranked IEMs by Harman score?"

The server automatically analyzes frequency response measurements across 8 bands and classifies each headphone's sound signature (Neutral, Warm, Bright, Dark, V-shaped, etc.).

Demo

Headphone comparison with vocal suitability analysis

Finding similar IEMs by sound signature

Tools

| Tool | Description |
|------|-------------|
| eq_search | Search by name, type (over-ear/in-ear/earbud), sound signature, or measurement source |
| eq_profile | Get full EQ profile — parametric EQ, fixed band EQ, per-band analysis with visual bars |
| eq_compare | Side-by-side comparison of two headphones across all frequency bands |
| eq_recommend | Recommendations by preference (neutral, warm, bright, bass, vocal, fun, analytical) |
| eq_ranking | Harman headphone listener preference score rankings |
| eq_targets | List all 61 available target curves (Harman, Diffuse Field, etc.) |
| eq_sync | Pull latest data from AutoEQ GitHub and rebuild the database |

Example Output

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