Model Context Protocol server enabling standardized access to materials databases via the OPTIMADE API, featuring efficient querying and retrieval of predicted stable crystal structures from Google DeepMind's GNoME dataset for advanced materials science applications.
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A Model Context Protocol (MCP) server designed to interact with materials databases through the OPTIMADE API, with a specific focus on Google DeepMind's GNoME (Graph Networks for Materials Exploration) dataset. This project serves as a bridge between the OPTIMADE API and materials science applications, enabling efficient access and manipulation of crystal structure data.
The Materials MCP Project implements a Model Context Protocol server that:
python -m venv venv source venv/bin/activate # On Unix/macOS
pip install poetry poetry install
materials_mcp/
- Main package directory
api/
- OPTIMADE API integrationgnome/
- GNoME dataset specific functionalitymodels/
- Data models and schemasserver/
- MCP server implementationtests/
- Test directorypyproject.toml
- Project configuration and dependenciesREADME.md
- This file[Usage examples will be added as the project develops]
[Contribution guidelines will be added]
[License information will be added]
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