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"author:scmcphub" matching MCP servers:

  • Scanpy-MCP

    scmcphub
    A
    license
    -
    quality
    B
    maintenance
    Provides a natural language interface for scRNA-Seq analysis using the Scanpy library, supporting operations such as data preprocessing, clustering, and visualization. It enables AI agents and clients to perform complex single-cell transcriptomics workflows through the Model Context Protocol.
    Last updated
    2
    BSD 3-Clause

  • SCMCP

    scmcphub
    A
    license
    -
    quality
    D
    maintenance
    An MCP server that enables scRNA-Seq analysis through natural language, providing tools for data preprocessing, clustering, and biological visualization. It supports both predefined function execution and a flexible code mode powered by a Jupyter backend for automated single-cell transcriptomics workflows.
    Last updated
    15
    BSD 3-Clause

  • cellrank-mcp

    scmcphub
    F
    license
    -
    quality
    B
    maintenance
    Enables natural language interaction for scRNA-Seq analysis including preprocessing, clustering, and visualization using the CellRank library. It allows users and agents to perform complex genomic data tasks through standard MCP clients and frameworks.
    Last updated
    2

  • decoupler-MCP

    scmcphub
    F
    license
    -
    quality
    B
    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.
    Last updated
    4

  • Liana-MCP

    scmcphub
    F
    license
    -
    quality
    B
    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.
    Last updated
    1

  • Infercnv-MCP

    scmcphub
    F
    license
    -
    quality
    B
    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.
    Last updated
    1