Related Servers

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Related Servers

• scvi-tools MCP Server

  hyennnnnnn

  A

  license

  -Not graded

  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.

  Updated a year ago (2025-10-14 05:41 UTC)

  MIT

• Cell Annotation MCP

  haoyunLi

  F

  license

  -Not graded

  quality

  C

  maintenance

  Enables evidence-traceable annotation of human and mouse single-cell data by resolving ontology terms, searching versioned marker and reference-atlas indexes, ranking and auditing candidate cell types, and exporting sealed decision bundles with provenance.

  Updated 13 days ago (2026-09-10 17:23 UTC)

  1

  -

• Liana-MCP

  scmcphub

  F

  license

  -Not graded

  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.

  Updated a year ago (2025-06-27 12:35 UTC)

  1

  -

• Infercnv-MCP

  scmcphub

  F

  license

  -Not graded

  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.

  Updated a year ago (2025-06-27 12:17 UTC)

  2

  -

• biomarker-mcp

  scmcphub

  F

  license

  -Not graded

  quality

  C

  maintenance

  Enables querying celltype markers from CellMarker database using natural language.

  Updated a year ago (2025-08-20 17:44 UTC)

  3

  -

• SCMCP

  scmcphub

  A

  license

  -Not graded

  quality

  C

  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.

  Updated a year ago (2025-07-10 16:43 UTC)

  16

  BSD 3-Clause