ChatSpatial

面向空间转录组分析的自然语言 MCP 服务。

Analyze your spatial data from any MCP-compatible client. No coding required.

ChatSpatial exposes 20 schema-validated MCP tools. Those tools orchestrate 65 spatial transcriptomics methods across 15 analytical categories; the tools are the user-facing interface, and the methods are selected through tool parameters.

通过 20 个 MCP 工具 调度 15 类分析的 65 种方法。 支持 10x Visium、Xenium、Slide-seq、MERFISH 等。


Choose Your Path

New to ChatSpatial:

Installation配置指南快速开始

Already running ChatSpatial:

概念 for method selection, 示例 for prompt recipes, and 方法参考 for exact parameters.

Something failed:

Start with 故障排查, then use 常见问题(FAQ) for short answers and pointers.

Contributing:

Use Contributing to find the right contribution path.


入门

Installation

Set up the environment

Install ChatSpatial and prepare your Python environment.

Installation
快速开始

你的第一次分析

加载数据,并用自然语言开始分析。

快速开始
Docker / GHCR

Run without local dependency resolution

Pull the GHCR image, mount data, and configure MCP.

Docker / GHCR
概念

理解这些方法

了解何时该用哪种方法,以及原因。

概念
示例

看看能做什么

覆盖各类分析的自然语言指令示例。

示例

参考

方法参考

MCP tools, supported methods, parameters, and defaults

方法参考
配置

MCP 客户端配置

配置指南
Data Management

External dataset registry and fetch workflow

Data Management
Contributing

Contributor entry point for docs and code changes

Contributing

支持