Natural language-driven spatial transcriptomics analysis with 60+ methods via MCP
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"chatspatial-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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MCP server for spatial transcriptomics analysis via natural language
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
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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.
Docker quick start:
docker pull ghcr.io/cafferychen777/chatspatial:v1.2.9
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.
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 | Spat |