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metadata
title: Equivariant Chem Scout
emoji: πŸš€
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 6.0.1
app_file: app.py
pinned: false
license: mit
hf_oauth: true
tags:
  - mcp-in-action-track-creative

Equivariant_Chem_Scout

An MCP server that teaches you how to build and train E(3)-equivariant Graph Neural Networks using the real MACE architecture.

Features

  • Initialize real MACE models with custom hyperparameters
  • Train on molecular data with live Trackio logging
  • Test equivariance properties interactively