Augmented Nature

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 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.

This server is an MCP server providing advanced access to the UniProt database. It offers 26 specialized bioinformatics tools, enabling AI assistants and MCP clients to conduct sophisticated protein research, comparative genomics, and structural biology analysis.

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

The Reactome-MCP-Server is a Model Context Protocol server designed for accessing Reactome pathway and systems biology data. It features eight tools that work with live API data, allowing users to search for pathways, access detailed information, find gene-pathway associations, and explore disease pathways among other functionalities.

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.

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.

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.

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 specifically provides structural information about compounds, enabling researchers to efficiently utilize the data. Built with JavaScript, it combines usability and extensibility.