Augmented Nature

A comprehensive Model Context Protocol (MCP) server providing advanced access to the ChEMBL chemical database.

A comprehensive Model Context Protocol (MCP) server that provides access to the AlphaFold Protein Structure Database through a rich set of tools and resources for protein structure prediction analysis.

A comprehensive Model Context Protocol (MCP) server for accessing the PubChem chemical database. This server provides access to over 110 million chemical compounds with extensive molecular properties, bioassay data, and chemical informatics tools.

A Model Context Protocol (MCP) server that provides access to the Protein Data Bank (PDB) - the worldwide repository of information about the 3D structures of proteins, nucleic acids, and complex assemblies.

The Augmented-Nature-UniProt-MCP-Server is an MCP server that provides advanced access to the UniProt protein database. It offers 26 specialized bioinformatics tools that enable AI assistants and MCP clients to conduct protein research, comparative genomics, structural biology analysis, and systems biology investigations.

The Reactome-MCP-Server is an unofficial Model Context Protocol server designed for accessing Reactome pathway and systems biology data. It features eight tools that utilize live API data, including pathway search, detailed pathway information, gene-to-pathway mapping, disease pathways, pathway hierarchy, participants in pathways, biochemical reactions, and protein interactions.

Unofficial Model Context Protocol server for accessing Open Targets platform data for gene-drug-disease associations research.

The BioOntology-MCP-Server is a production-ready Model Context Protocol server that provides comprehensive API access for searching, annotating, and exploring over 1,200 biological ontologies. It includes text analysis features and ontology navigation capabilities, making it highly useful for researchers and developers.

The GeneOntology-MCP-Server is a comprehensive Model Context Protocol server for accessing Gene Ontology (GO) data. It enables AI systems to perform ontology-based analysis, gene annotation research, and functional enrichment studies. The server provides features such as term search, ontology navigation, and access to gene annotations.

STRING-db-MCP-Server is a JavaScript-based server designed for the integration and analysis of biological data. It allows users to easily retrieve and analyze data, specifically focusing on biological datasets. The server is equipped with features to access data via APIs and visualize it effectively.

A Model Context Protocol (MCP) server that provides comprehensive access to the KEGG (Kyoto Encyclopedia of Genes and Genomes) database through its REST API.

SureChEMBL-MCP-Server is a server designed for the collection and analysis of chemical data. It specializes in efficiently retrieving information about chemical substances and storing it in a database. Users can access the data through an API and perform various analyses.