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    An MCP server that enables AI coding assistants to interact with Rosetta, PyRosetta, and Biotite for running RosettaScripts, validating XML, translating between Rosetta and Biotite, scoring structures, and querying documentation.
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    112
    18
    MIT
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    quality
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    Provides seamless access to the Protein Data Bank in Europe (PDBe) API and search capabilities, enabling AI clients to query protein structures, perform advanced searches, and retrieve structural biology data.
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    Apache 2.0
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    Provides programmatic access to AlphaFold protein structure predictions and UniProt data, enabling users to retrieve protein structures, summaries, and annotations through natural language.
    3
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    BioMCP is an open-source MCP server that connects any AI assistant to 15 open bioinformatics databases with zero configuration. It provides 23 tools for literature, sequences, BLAST, structures, enrichment, annotations, genomes, interactions, variants, domains, compounds, and single-cell data.
    1
    MIT
  • A
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    A Model Context Protocol server providing programmatic access to 3D protein structural data from RCSB PDB, PDBe, and UniProt, enabling search, retrieval, comparison, and analysis of protein structures.
    128
    5
    Apache 2.0
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    Enables real-time pharmacogenomics analysis, including variant clinical significance, drug-gene interactions, and dosing guidelines, by connecting to ClinVar, PharmGKB, gnomAD, and other databases.
    1
    MIT
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    Provides chemical informatics endpoints for converting between chemical names and SMILES, processing molecule structures, and comparing molecules, with MCP compatibility.
    4
    MIT
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    Provides access to AlphaFold predicted protein 3D structures from EBI, enabling retrieval of prediction metadata, summaries, annotations, and UniProt data.
    19
    MIT
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    An MCP server that enables language models to fetch protein information from the UniProt database, including protein details, sequences, functions, and structures.
    MIT
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    Control PyMOL from Cursor via natural language. Enables describing molecular structures and styles in plain language to execute PyMOL commands through XML-RPC.
    1
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    Enables RNA structure analysis, sequence evaluation, and inverse design using geometric deep learning models. Supports both quick computational analysis and long-running batch processing for generating RNA sequences that fold into target structures.
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    Enables Claude Code to interact with a TACC or SLURM HPC cluster for bioinformatics pipelines, allowing job management, log reading, file browsing, remote script execution, and job submission through natural language.
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    Enables interaction with the CEDAR metadata repository, including fetching templates, searching BioPortal ontology terms, and managing template instances.
    8
    MIT