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verIdyia/autoeq-mcp

verIdyia/autoeq-mcp

AutoEQ headphone and IEM EQ data: search by
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Config template (adjust for your client)
claude mcp add autoeq-mcp -- npx -y autoeq-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
5 ★ · verIdyia/autoeq-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 5 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository verIdyia/autoeq-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

AutoEQ MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

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
Installation
Claude Code / Claude Desktop (stdio)
For Claude Desktop, add to your config file:
SSE Mode (Remote / Multi-client)
From Source
Configuration
All configuration is via environment variables:
| Variable | Default | Description |
|----------|---------|-------------|
| AUTOEQ_DATA_DIR | ~/.autoeq-mcp | Directory for repo clone and SQLite DB |
| AUTOEQ_MCP_PORT | 3008 | SSE server port |
| AUTOEQ_MCP_HOST | 0.0.0.0 | SSE server host |
| AUTOEQ_MCP_ALLOWED_HOSTS | *(none)* | Comma-separated allowed hosts for SSE |
Data Source
All headphone data comes from AutoEQ by Jaakko Pasanen (MIT License).
- **8,800+** headphone/IEM profiles
- **22** measurement sources (oratory1990, crinacle, Rtings, and more)
- **61** target curves (Harman 2018/2019, Diffuse Field, etc.)
- **2,300+** Harman preference scores
The database syncs from the AutoEQ GitHub repository. Run eq_sync or autoeq-mcp --sync to update.
How Sound Signatures Work
The server analyzes each headphone's frequency response error (deviation from target) across 8 bands and classifies it:
Source
awesome · https://github.com/verIdyia/autoeq-mcp
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