PubChem-MCP-Server
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The PubChem MCP Server provides a bridge between AI assistants and PubChem's chemical database through the Model Context Protocol (MCP).
The PubChem MCP Server is designed to facilitate AI models in accessing and searching PubChem's extensive chemical database. By leveraging the Model Context Protocol (MCP), it allows for programmatic queries of chemical compounds, providing detailed information such as molecular structures, identifiers, and properties. This server is particularly useful for AI applications that require chemical data for analysis, research, or educational purposes. It supports various search methods, including by compound name, SMILES notation, and PubChem CID, and offers advanced search capabilities for more precise queries. Additionally, it provides tools for molecular visualization and property analysis, making it a comprehensive solution for chemical data retrieval and analysis.
Features
- Compound Search: Query PubChem compounds by name, SMILES, or CID.
- Chemical Structure: Access molecular structures and identifiers.
- Property Data: Retrieve detailed chemical and physical properties.
- Advanced Search: Combine multiple parameters for precise queries.
- Molecular Visualization: Generate and display molecular structures.
Tools
search_pubchem_by_name
Search for chemical compounds on PubChem using a compound name.
search_pubchem_by_smiles
Search for chemical compounds on PubChem using a SMILES string.
get_pubchem_compound_by_cid
Fetch detailed information about a chemical compound using its PubChem CID.
search_pubchem_advanced
Perform an advanced search for compounds on PubChem.