Augmented-Nature-UniProt-MCP-Server and SureChEMBL-MCP-Server

These two comprehensive Model Context Protocol (MCP) servers are complementary, as one provides advanced access to the UniProt protein database and the other to the SureChEMBL chemical patent database, allowing researchers to integrate protein and chemical patent information within a shared MCP framework.

Maintenance 6/25
Adoption 6/25
Maturity 15/25
Community 17/25
Maintenance 6/25
Adoption 4/25
Maturity 15/25
Community 15/25
Stars: 18
Forks: 9
Downloads:
Commits (30d): 0
Language: JavaScript
License:
Stars: 7
Forks: 5
Downloads:
Commits (30d): 0
Language: JavaScript
License:
No Package No Dependents
No Package No Dependents

About Augmented-Nature-UniProt-MCP-Server

Augmented-Nature/Augmented-Nature-UniProt-MCP-Server

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

This tool gives bioinformatics researchers and scientists advanced access to the UniProt protein database. You can input protein names, gene symbols, or accession numbers to retrieve comprehensive data like sequences, structures, functions, pathways, and evolutionary relationships. It's designed for biologists, biochemists, and geneticists performing deep dives into protein characteristics.

protein-research bioinformatics genomics structural-biology systems-biology

About SureChEMBL-MCP-Server

Augmented-Nature/SureChEMBL-MCP-Server

A comprehensive Model Context Protocol (MCP) server for accessing the SureChEMBL chemical patent database.

This project helps R&D scientists, patent attorneys, and competitive intelligence analysts explore chemical patents. It takes in search queries, chemical structures, or patent IDs and provides detailed patent documents, chemical information, structural images, and analytical reports. The end user is anyone needing to navigate the SureChEMBL chemical patent database for research or analysis.

chemical-patents patent-intelligence chemical-discovery prior-art-research competitive-analysis

Scores updated daily from GitHub, PyPI, and npm data. How scores work