Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AutoEQ MCP ServerCompare the Sennheiser HD 600 and the HiFiMAN Sundara"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
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 |
| Search by name, type (over-ear/in-ear/earbud), sound signature, or measurement source |
| Get full EQ profile — parametric EQ, fixed band EQ, per-band analysis with visual bars |
| Side-by-side comparison of two headphones across all frequency bands |
| Recommendations by preference (neutral, warm, bright, bass, vocal, fun, analytical) |
| Harman headphone listener preference score rankings |
| List all 61 available target curves (Harman, Diffuse Field, etc.) |
| 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-mcpFor 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 --sseFrom Source
git clone https://github.com/verIdyia/autoeq-mcp
cd autoeq-mcp
pip install -e .
autoeq-mcp --syncConfiguration
All configuration is via environment variables:
Variable | Default | Description |
|
| Directory for repo clone and SQLite DB |
|
| SSE server port |
|
| SSE server host |
| (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
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.