ChatSpatial

MCP server for spatial transcriptomics analysis with 60+ integrated methods

ChatSpatial

MCP server for spatial transcriptomics analysis via natural language

Paper MLGenX @ ICLR 2026 ENAR 2026 IBC 2026 CI PyPI Python 3.11-3.13 License: MIT Docs

ChatSpatial Overview

ChatSpatial replaces ad-hoc LLM code generation with schema-enforced orchestration. Instead of generating arbitrary scripts, the LLM selects tools and parameters from a curated registry, making spatial transcriptomics workflows more reproducible across sessions and clients.

It exposes 60+ spatial transcriptomics methods as MCP tools, so any MCP-compatible client can analyze data through natural language.


Start Here

  1. Install ChatSpatialInstallation Guide
  2. Configure your MCP clientConfiguration Guide
  3. Run your first analysisQuick Start

Minimal example prompt:

Load /absolute/path/to/spatial_data.h5ad and show me the tissue structure

ChatSpatial works with any MCP-compatible client — Claude Code, Claude Desktop, Codex, OpenCode, and other MCP-capable tools.


Capabilities

60+ methods across 11 categories. Supports 10x Visium, Xenium, Slide-seq v2, MERFISH, seqFISH.

CategoryMethods
Spatial DomainsSpaGCN, STAGATE, GraphST, BANKSY, Leiden, Louvain
DeconvolutionFlashDeconv, Cell2location, RCTD, DestVI, Stereoscope, SPOTlight, Tangram, CARD
Cell CommunicationLIANA+, CellPhoneDB, CellChat (cellchat_r), FastCCC
Cell Type AnnotationTangram, scANVI, CellAssign, mLLMCelltype, scType, SingleR
Differential ExpressionWilcoxon, t-test, Logistic Regression, pyDESeq2
Trajectory & VelocityCellRank, Palantir, DPT, scVelo, VeloVI
Spatial StatisticsMoran's I, Local Moran, Geary's C, Getis-Ord Gi*, Ripley's K, Co-occurrence, Neighborhood Enrichment, Centrality Scores, Local Join Count, Network Properties
EnrichmentGSEA, ORA, Enrichr, ssGSEA, Spatial EnrichMap
Spatial GenesSpatialDE, SPARK-X, FlashS
IntegrationHarmony, BBKNN, Scanorama, scVI
OtherCNV Analysis (InferCNVPy, Numbat), Spatial Registration (PASTE, STalign)

Documentation

GuideOwns
InstallationEnvironment setup, package install, platform notes
Quick StartFirst successful analysis after setup
ConceptsMethod selection and analysis reasoning
ExamplesPrompt recipes and workflow examples
ConfigurationExact MCP client configuration syntax
TroubleshootingSymptom → fix guidance
Methods ReferenceCanonical tool parameters and defaults
Full DocsComplete documentation site

Citation

If you use ChatSpatial in your research, please cite:

@article{Yang2026.02.26.708361,
  author = {Yang, Chen and Zhang, Xianyang and Chen, Jun},
  title = {ChatSpatial: Schema-Enforced Agentic Orchestration for Reproducible and Cross-Platform Spatial Transcriptomics},
  elocation-id = {2026.02.26.708361},
  year = {2026},
  doi = {10.64898/2026.02.26.708361},
  publisher = {Cold Spring Harbor Laboratory},
  URL = {https://www.biorxiv.org/content/early/2026/03/01/2026.02.26.708361},
  journal = {bioRxiv}
}

ChatSpatial orchestrates many excellent third-party methods. Please also cite the original tools your analysis used.


Contributing

Documentation improvements, bug reports, and new analysis methods are all welcome. See CONTRIBUTING.md.

MIT License · GitHub · Issues

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