PubChem

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PubChem provides a Model Context Protocol (MCP) server, implemented in Python, that enables AI models to easily retrieve chemical compound information from the PubChem database. Through a standard MCP interface, users can access compound properties, 2D structures, and 3D molecular coordinates, enhancing the capabilities of AI in chemical and scientific applications.

Características Principales

• Queries compounds by name or PubChem CID
• Supports JSON, CSV, and XYZ output formats
• Retrieves comprehensive compound data including IUPAC name, molecular formula, and SMILES notation
• Includes a built-in caching system for improved performance
• Offers automatic retry mechanism for API reliability
• 3 GitHub stars

Casos de Uso

• Retrieving chemical compound data for AI model training
• Integrating chemical data into AI-driven scientific workflows
• Generating structure files for visualization and analysis