Chatspatial MCP Server

ChatSpatial replaces ad-hoc LLM code generation with **schema-enforced orchestration**. Instead of generating arbitrary scripts, the LLM selects

Local serverstdioPython

What is the Chatspatial MCP Server?

ChatSpatial replaces ad-hoc LLM code generation with schema-enforced orchestration. Instead of generating arbitrary scripts, the LLM selects tools and

The tools it exposes

The server publishes 4 tools. What each one is for:

  • Category — Example methods
  • Visualization — Spatial plots, Embedding plots, Gene expression overlays
  • Deconvolution — FlashDeconv, Cell2location, RCTD, DestVI, Stereoscope, SPOTlight, Tangram, CARD
  • Guide — Use this when..

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

How it compares

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Setup and compatibility

This listing has no verified copy-paste launch configuration. Use the project documentation to confirm the entry point, runtime and authentication before registering it in your MCP client. A package name or repository alone is not a runnable configuration.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Example prompts to try

  • “Use Chatspatial to Category.”
  • “Use Chatspatial to Visualization.”
  • “Use Chatspatial to Deconvolution.”

Frequently asked questions

ChatSpatial replaces ad-hoc LLM code generation with **schema-enforced orchestration**. Instead of generating arbitrary scripts, the LLM selects tools and Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.