AutoEQ MCP Server
pip install autoeq-mcpAn 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 |
