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qualityEnables AI assistants to access protein information directly from UniProt, allowing retrieval of protein names, functions, sequences, and organism data by accession number.
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Python
MIT License
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Why this server?
Enables AI assistants to access protein information directly from UniProt, which is relevant for bioinformatics analysis.
Why this server?
An MCP server that provides access to PubMed articles through the Entrez API, useful for accessing scientific literature related to bioinformatics.
Why this server?
Server to search PubMed (a free, online database that allows users to search for biomedical and life sciences literature).
Why this server?
An MCP server implementation that enables searching and retrieving research articles from PubMed with specific focus on open access content filtering and full-text link retrieval.
Why this server?
A Model Context Protocol server that interfaces with Biomart databases, allowing models to discover biological datasets and retrieve data, useful for bioinformatics.
Why this server?
Provides access to the ClinicalTrials.gov AACT database, enabling analysis of clinical trial data, tracking development trends, and generating therapeutic landscape insights.
Why this server?
Provides AI tools with access to Rust documentation, potentially useful if the bioinformatics tools are built with Rust.
Why this server?
Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
Why this server?
A Model Context Protocol server implementation that enables seamless integration between Beamlit CLI and AI models using the Model Context Protocol standard and allows to create tools to manage data.