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MCP server · Communication

verIdyia/autoeq-mcp

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Scored 6 months ago · breakdown

About verIdyia/autoeq-mcp

verIdyia/autoeq-mcp is an MCP server in the Communication category: shaped, etc.).

Install

From source
git clone https://github.com/verIdyia/autoeq-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (7)

eq_compareSide-by-side comparison of two headphones across all frequency bands

Parameters not published.

eq_profileGet full EQ profile — parametric EQ, fixed band EQ, per-band analysis with visual bars

Parameters not published.

eq_rankingHarman headphone listener preference score rankings

Parameters not published.

eq_recommendRecommendations by preference (neutral, warm, bright, bass, vocal, fun, analytical)

Parameters not published.

eq_searchSearch by name, type (over-ear/in-ear/earbud), sound signature, or measurement source

Parameters not published.

eq_syncPull latest data from AutoEQ GitHub and rebuild the database

Parameters not published.

eq_targetsList all 61 available target curves (Harman, Diffuse Field, etc.)

Parameters not published.

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README

AutoEQ MCP Server

PyPI Claude Desktop Claude Code claude.ai

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

# Sennheiser HD 650
- Source: oratory1990
- Type: over-ear
- Harman preference score: 84.0
- Sound signature: Neutral, Harman-like

## Per-band analysis (deviation from target, dB)
  Sub-bass (20-60Hz):   -3.2 dB [·······▓▓▓|··········] sub-bass lacking
  Bass (60-250Hz):      +0.8 dB [··········|··········] close to target
  Mid (500-1kHz):       -0.3 dB [··········|··········] close to target
  Presence (2k-4kHz):   +1.4 dB [··········|▓·········] detail emphasis
  Air (8k-20kHz):       -2.1 dB [········▓▓|··········] closed / lacking air

## Parametric EQ (Preamp: -6.5 dB)
  #  Type        Fc (Hz)      Q  Gain (dB)
  1  LowShelf        105   0.70       +6.5
  2  Peaking        1800   1.20       -2.3
  ...

Installation

Claude Code / Claude Desktop (stdio)

# Install
pip install autoeq-mcp

# Initial database sync (clones AutoEQ repo + builds SQLite DB, ~20s)
autoeq-mcp --sync

# Add to Claude Code
claude mcp add autoeq_mcp -- autoeq-mcp

For Claude Desktop, add to your config file:

{
  "mcpServers": {
    "autoeq": {
      "command": "autoeq-mcp"
    }
  }
}

SSE Mode (Remote / Multi-client)

# Start SSE server
AUTOEQ_MCP_PORT=3008 autoeq-mcp --sse

# With allowed hosts for DNS rebinding protection
AUTOEQ_MCP_ALLOWED_HOSTS="your-domain.com,localhost" autoeq-mcp --sse

From Source

git clone https://github.com/verIdyia/autoeq-mcp
cd autoeq-mcp
pip install -e .
autoeq-mcp --sync

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:

Signature Characteristics
Neutral All bands within ±2 dB of target
Warm Elevated bass, flat/recessed treble
Bright Elevated treble, flat/recessed bass
Dark Recessed treble
V-shaped Elevated bass + treble, recessed mids
U-shaped Elevated bass + treble
Bass-heavy Strongly elevated bass (>3 dB)
Mid-forward Elevated mids, flat bass/treble
Harman-like Total deviation < 1.5 dB average

License

MIT — See LICENSE

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About verIdyia/autoeq-mcp

How do I install verIdyia/autoeq-mcp?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is verIdyia/autoeq-mcp safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is verIdyia/autoeq-mcp still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.