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verIdyia/autoeq-mcp

by Various

MCP server for AutoEQ headphone equalization database — search, compare, and get EQ settings for 8800+ headphones/IEMs

V

MCP

verIdyia/autoeq-mcp

Added 1 June 2026

#ai #audio #autoeq #claude #equalizer #harman #headphone #iem

Overview

An MCP server that provides access to the AutoEQ headphone equalization database. It allows searching, comparing, and retrieving EQ settings for over 8800 headphone and IEM models via the Model Context Protocol.

Best for

Best for
Developers and audiophiles who want to programmatically retrieve headphone EQ settings within MCP-based toolchains

Use cases

  • Search for EQ settings by headphone or IEM model name
  • Compare frequency response curves between different models
  • Retrieve parametric EQ presets for use in audio software

Notes

An MCP server that provides access to the AutoEQ headphone equalization database. It allows searching, comparing, and retrieving EQ settings for over 8800 headphone and IEM models via the Model Context Protocol.

3 stars on GitHub. Last updated 2026-03-21. Licensed MIT.

Use cases

  • Search for EQ settings by headphone or IEM model name
  • Compare frequency response curves between different models
  • Retrieve parametric EQ presets for use in audio software

Pros

  • Access to a large, community-curated database of headphone EQ profiles
  • Standardized MCP interface enables easy integration with compatible clients
  • Open-source Python implementation for transparency and customization

Cons

  • Low star count (3) suggests limited community adoption and testing
  • Requires an MCP-compatible client or host to function
  • Python runtime dependency may add overhead for non-Python workflows

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Access to a large, community-curated database of headphone EQ profiles
  • Standardized MCP interface enables easy integration with compatible clients
  • Open-source Python implementation for transparency and customization

Cons

  • Low star count (3) suggests limited community adoption and testing
  • Requires an MCP-compatible client or host to function
  • Python runtime dependency may add overhead for non-Python workflows

Pairs with

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