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"Methods for Accessing Real-Time Data Using Chrome" matching MCP servers:

  • methods-mcp

    webwebb56
    A
    license
    -
    quality
    D
    maintenance
    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

  • nucleotide_archive_mcp

    biocontext-ai
    A
    license
    A
    quality
    C
    maintenance
    An MCP server for searching and accessing RNA sequencing datasets from the European Nucleotide Archive (ENA), supporting bulk, single-cell, and spatial transcriptomics with advanced filtering and download capabilities.
    11
    1
    Apache 2.0

  • biothings-mcp

    longevity-genie
    A
    license
    A
    quality
    F
    maintenance
    Provides a Model Context Protocol server for accessing and querying biomedical data from BioThings services, including gene, variant, chemical, and taxon annotations.
    19
    33
    MIT

  • BCI-MCP Server

    enkhbold470
    A
    license
    A
    quality
    A
    maintenance
    A framework that integrates Brain-Computer Interface technology with the Model Context Protocol to enable real-time neural signal processing and AI-powered interactions for healthcare, accessibility, and research applications.
    12
    16
    MIT

  • STRING-db MCP Server

    Augmented-Nature
    F
    license
    B
    quality
    D
    maintenance
    A comprehensive Model Context Protocol (MCP) server for accessing the STRING protein interaction database. This server provides powerful tools for protein network analysis, functional enrichment, and comparative genomics through the STRING API.
    6
    4

  • gnomAD MCP Server

    shukwong
    F
    license
    B
    quality
    D
    maintenance
    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

  • scvi-tools MCP Server

    hyennnnnnn
    A
    license
    -
    quality
    D
    maintenance
    Enables deep probabilistic analysis of single-cell omics data using scvi-tools through natural language. Supports SCVI for scRNA-seq analysis, SCANVI for cell type annotation, TOTALVI for multi-modal RNA/protein data, and PEAKVI for scATAC-seq analysis.
    MIT

  • BV-BRC MCP Server

    soham-shukla
    A
    license
    -
    quality
    D
    maintenance
    Enables querying and retrieving bacterial and viral genomic data, features, antimicrobial resistance, and epitopes from the BV-BRC API using natural language.
    MIT

  • pgx-mcp

    Julius-Schmidt
    A
    license
    -
    quality
    D
    maintenance
    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

  • Liana-MCP

    scmcphub
    F
    license
    -
    quality
    C
    maintenance
    Enables natural language interface for single-cell RNA-Seq analysis using Liana. Supports reading/writing scRNA-Seq data, cell-cell communication analysis, and visualization through circle plots and dotplots.
    1

  • decoupler-MCP

    scmcphub
    F
    license
    -
    quality
    C
    maintenance
    Provides a natural language interface for single-cell RNA-Seq analysis using the decoupleR framework. It enables users to perform biological pathway inference, data clustering, and visualization through MCP-compatible AI clients.
    4

  • Infercnv-MCP

    scmcphub
    F
    license
    -
    quality
    C
    maintenance
    Provides a natural language interface for inferring Copy Number Variations (CNVs) from scRNA-Seq data using the infercnvpy framework. It enables users to perform data preprocessing, CNV inference, and visualization through chromosome heatmaps, UMAP, and t-SNE plots.
    2