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    Provides an MCP interface to the ROBOT command-line tool for OWL ontology editing, enabling operations like merging, reasoning, and conversion via natural language.
    26
    33 PyPI
    1
    BSD 2-Clause "Simplified"
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    Parses MS-DIAL binary lipidomics outputs and runs standard analyses server-side, returning compact summaries so an LLM can drive full lipidomics analysis without exposing raw matrices.
    77
    MIT
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    Enables AI assistants to search, browse, and retrieve interactive cell images and subcellular location data, including cell types, SVG illustrations, and location details through natural-language tool calls.
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    MIT
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    Enables AI-driven pharmacogenomic analysis by querying structured genetic variant, drug response, and disease risk data. Supports natural language questions about medications, traits, and health risks based on user genome data, with privacy-first local execution.
    16
    16 npm
    12
    MIT
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    Enables interaction with MGnify metagenomics resources and tools through the Model Context Protocol. Provides access to MGnify's API for querying and analyzing metagenomic datasets and related biological information.
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    Enables AI assistants to query genetic variant data, gene constraints, and population genetics information from the gnomAD (Genome Aggregation Database) through its GraphQL API. Supports searching for genes and variants, retrieving constraint scores, analyzing population frequencies, and accessing genomic coverage data.
    9
    10
    MIT
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    A server that enables AI assistants to interact with cancer genomics data from cBioPortal, allowing users to explore cancer studies, access genomic data, and retrieve mutations and clinical information.
    17
    6
    MIT
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    Enables AI agents to search public cancer genomics studies (TCGA, CPTAC, MSK, and more), fetch full details for individual studies, resolve gene symbols to Entrez ids, and list cancer types. Works keylessly against open cBioPortal data over a hosted MCP endpoint, a local stdio server, or plain HTTP.
    414 npm
    MIT
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    MCP server for querying the GWAS Catalog (EBI/NHGRI), a curated catalog of genome-wide association studies. It enables AI agents to search and retrieve study data via natural language or direct tool calls.
    485 npm
    MIT
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    Enables searching and retrieving cancer-genomics projects, cases, and genomic data files — including TCGA, TARGET, and CPTAC — via keyless, open-access metadata tools. Supports filtering by primary site, project, or data category, and can route plain-English questions to the right tool automatically.
    469 npm
    MIT
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    Enables querying of the Monarch Initiative biomedical knowledge graph for genes, diseases, phenotypes, and their associations through natural language or direct tool calls.
    466 npm
    MIT
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    An MCP server that provides access to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, offering 30 tools for searching and analyzing biological data like pathways, genes, and compounds. It supports integration with LangChain and Ollama to enable LLMs to interact with comprehensive genomic and chemical datasets.
    8
    MIT
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    This server provides access to InterPro protein family, domain, and functional-site classification data from EBI. It allows querying protein annotations through natural language or direct tool calls.
    522 npm
    MIT
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    Federates 13 gene-related MCP backends (gnomAD, GTEx, etc.) behind a single Streamable HTTP endpoint with collision-free namespacing and search-based tool discovery.
    6
    MIT
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    Connects AI agents to a hosted remote MCP endpoint that searches academic papers, verifies references and retraction status, retrieves research datasets, grants, and biological or chemical data, and generates scientific figures across 50+ upstream sources. Supports OAuth sign-in with per-tool credit accounting, structured error reporting, and source attribution for results.
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    This server provides agents with access to key data across UniProt, RCSB PDB, and ChEMBL archives. It enables the completion of complex biochemical and drug discovery tasks by offering structured tool endpoints.
    MIT
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    Enables AI assistants to query VirtualFlyBrain data, run queries, and search for terms related to Drosophila neurobiology.
    MIT
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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Apache 2.0
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    A specialized MCP server for Metal-Organic Framework research that provides tools for database searching, structural optimization, and energy calculations via ASE. It enables scientific workflows by allowing users to interact with MOF data and perform chemical simulations through a standard SSE interface.
    MIT
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    MCP server for biological protein design, folding, and affinity prediction using Refua tools, with optional support for ADMET, clinical simulation, preclinical planning, wet-lab automation, and more.
    MIT
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    Enables querying relationships between plant species, small molecules, and mitochondrial Complex I inhibitors by bridging natural-product, biodiversity, and PubMed datasets. Allows LLMs to perform structured searches and reasoning over biological data to identify potential plant-derived mitochondrial inhibitors.
    GPL 3.0
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    A server providing access to NCBI E-utilities API for searching and retrieving data from databases like PubMed, Protein, and Nucleotide.
    42 PyPI
    MIT