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¶
Set up the environment
Install ChatSpatial and prepare your Python environment.
你的第一次分析
加载数据,并用自然语言开始分析。
Run without local dependency resolution
Pull the GHCR image, mount data, and configure MCP.
理解这些方法
了解何时该用哪种方法,以及原因。
看看能做什么
覆盖各类分析的自然语言指令示例。
参考¶
MCP tools, supported methods, parameters, and defaults
MCP 客户端配置
External dataset registry and fetch workflow
Contributor entry point for docs and code changes
支持¶
故障排查 — 常见问题与解决方案
常见问题(FAQ) — 常见问题(FAQ)
GitHub Issues — 报告问题