# ChatSpatial

> Use this tool when you need to analyze spatial transcriptomics data without coding, as it solves problems in spatial domain identification, cell type deconvolution, and gene set enrichment through natural language conversation. ChatSpatial supports multiple omics platforms and provides various analytical capabilities, making it an ideal interface for researchers working with spatial transcriptomics data. It takes in natural language queries and outputs analytical results, streamlining the analysis process for researchers in the field of spatial biology.

Canonical page: https://skillsregistry.net/skills/chatspatial  
JSON: https://api.skillsregistry.net/v1/skills/chatspatial

## Description

ChatSpatial enables researchers to perform spatial transcriptomics analysis through natural language conversation rather than writing code. It supports multiple spatial omics platforms including 10x Visium, Xenium, Slide-seq v2, MERFISH, and seqFISH. The server provides analytical capabilities spanning spatial domain identification, cell type deconvolution, cell-cell communication analysis, trajectory inference, and gene set enrichment across various established bioinformatics methods.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chatspatial)
- **Repository:** <https://github.com/cafferychen777/chatspatial>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chatspatial"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chatspatial` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chatspatial/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt