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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 Docker

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.

ChatSpatial exposes 20 schema-validated MCP tools that orchestrate 65 spatial transcriptomics methods across 15 analytical categories. The tools are the stable natural-language interface; the methods are the analysis backends selected through tool parameters.


Start Here

  1. Install ChatSpatialInstallation Guide for Python/uv setup, or Docker Guide for the GHCR image

  2. Configure your MCP clientConfiguration Guide

  3. Run your first analysisQuick Start

Docker quick start:

docker pull ghcr.io/cafferychen777/chatspatial:v1.2.10

Minimal example prompt:

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

If you use Docker, mount host data to /data and prompt with the container path, for example /data/spatial_data.h5ad.

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


Capabilities

Current coverage includes 65 methods across 15 analytical categories, exposed through 20 MCP tools. Supports 10x Visium, Xenium, Slide-seq v2, MERFISH, seqFISH.

Category

Example methods

Data Loading & Preprocessing

Scanpy I/O, QC, Normalization, HVG, PCA, Neighbors

Visualization

Spatial plots, Embedding plots, Gene expression overlays

Spatial Domain Identification

SpaGCN, STAGATE, GraphST, BANKSY, Leiden, Louvain

Deconvolution

FlashDeconv, Cell2location, RCTD, DestVI, Stereoscope, SPOTlight, Tangram, CARD

Cell-Cell Communication

LIANA+, CellPhoneDB, CellChat (cellchat_r), FastCCC

Cell Type Annotation

Tangram, scANVI, CellAssign, mLLMCelltype, scType, SingleR

Differential Expression

Wilcoxon, t-test, Logistic Regression, pyDESeq2

Trajectory Inference

CellRank, Palantir, DPT

RNA Velocity

scVelo, VeloVI

Spatial Statistics

Moran's I, Local Moran, Geary's C, Getis-Ord Gi*, Ripley's K, Co-occurrence, Neighborhood Enrichment, Centrality Scores, Local Join Count, Network Properties

Enrichment Analysis

GSEA, ORA, Enrichr, ssGSEA, Spatial EnrichMap

Spatially Variable Genes

SpatialDE, SPARK-X, FlashS

Multi-sample Integration

Harmony, BBKNN, Scanorama, scVI

CNV Analysis

InferCNVPy, Numbat

Spatial Registration

PASTE, STalign


Documentation

Guide

Use this when...

Installation

You need to install ChatSpatial in a Python environment

Docker

You want a reproducible container runtime or local dependency resolution fails

Configuration

You need exact MCP client syntax or the runtime path model

Quick Start

ChatSpatial is installed and you want the first successful analysis

Concepts

You need to choose an analysis strategy from a biological question

Examples

You want copy-pasteable natural-language workflow prompts

Methods Reference

You need canonical tool names, method names, parameters, and defaults

Troubleshooting

Setup, data loading, or analysis behavior is not working

Full Docs

You want the complete 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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Maintenance

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9hResponse time
4wRelease cycle
12Releases (12mo)
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