ChatSpatial¶
MCP server for spatial transcriptomics analysis via natural language.
Analyze your spatial data by chatting with Claude. No coding required.
60+ methods across 15 analysis categories. Supports 10x Visium, Xenium, Slide-seq, MERFISH, and more.
Getting Started¶
Set up the environment
Install ChatSpatial and prepare your Python environment.
Your first analysis
Load data and start analyzing with natural language.
Understand the methods
When to use which method and why.
See what’s possible
Natural language commands for every analysis type.
Reference¶
All 20 MCP tools with parameters
MCP client configuration
External dataset registry and fetch workflow
Contributor entry point for docs and code changes
Support¶
Troubleshooting — Common issues and solutions
Frequently Asked Questions — Frequently asked questions
GitHub Issues — Report bugs