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Chatspatial

ChatSpatial is a natural - language - based MCP server for spatial transcriptomics analysis. It supports more than 60 methods, covering 15 categories such as spatial domain identification, cell communication, and trajectory analysis. It can be used with multiple MCP - compatible AI clients.
Research and dataArtificial intelligence chatbots#Spatial transcriptomics#Bioinformatics#Natural language analysis#MCP service.Python
2.5 points
5.7K
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Overview

Tools List

Content Details

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What is ChatSpatial?

ChatSpatial is an intelligent analysis tool based on the Model Context Protocol (MCP), specifically designed for spatial transcriptomics research. It transforms complex bioinformatics analysis into simple natural language conversations, enabling researchers to perform professional-level spatial data analysis through a conversational interface.

How to use ChatSpatial?

Using ChatSpatial is very simple: 1) Install the ChatSpatial MCP server; 2) Configure it in a supported AI assistant (such as Claude, OpenCode, etc.); 3) Describe your analysis requirements using natural language; 4) ChatSpatial will automatically perform the corresponding analysis and return the results.

Use cases

ChatSpatial is particularly suitable for: biomedical researchers conducting spatial transcriptomics data analysis, bioinformatics beginners getting started quickly, teaching demonstrations, rapid prototype development, and exploratory data analysis. It supports data from multiple platforms such as 10x Visium, Xenium, and Slide-seq v2.

Main features

Spatial domain identification
Supports multiple algorithms such as SpaGCN, STAGATE, and GraphST to identify spatial functional regions in tissues
Cell deconvolution
Uses methods such as FlashDeconv, Cell2location, and RCTD to resolve cell type composition
Cell communication analysis
Analyzes cell-cell interactions through LIANA+, CellPhoneDB, and CellChat
Trajectory and velocity analysis
Supports dynamic analysis methods such as CellRank, Palantir, and scVelo
Spatial statistics
Provides spatial statistical methods such as Moran's I, Geary's C, and Ripley's K
Multi-platform support
Is compatible with multiple spatial transcriptomics technologies such as 10x Visium, Xenium, MERFISH, and seqFISH
Natural language interaction
Completely controls the analysis process through natural language instructions without the need for programming experience
Advantages
Lower the technical threshold: Perform professional-level analysis without programming
Improve efficiency: Quickly complete complex analysis processes through conversations
Comprehensive methods: Integrate more than 60 spatial transcriptomics analysis methods
Cross-platform compatibility: Support multiple MCP clients and AI assistants
Repeatability: Ensure the consistency and repeatability of the analysis process
Limitations
Dependence on external AI assistants: Requires configuring an MCP-compatible client
Computational resource requirements: Some complex analyses require high computational resources
Data format limitations: Mainly support standard formats such as h5ad
Network dependence: Some functions may require an internet connection
Learning curve: Requires understanding basic spatial transcriptomics concepts

How to use

Install ChatSpatial
Install the ChatSpatial package using pip or uv. It is recommended to use a virtual environment.
Configure the MCP client
Add the ChatSpatial MCP server to your preferred AI assistant (Claude, OpenCode, etc.).
Prepare data
Ensure that your spatial transcriptomics data is in a supported format (such as h5ad).
Start conversational analysis
Describe your analysis requirements using natural language in the AI assistant.
View results
ChatSpatial will perform the analysis and return the results, including visual charts and statistical data.

Usage examples

Spatial domain identification analysis
Researchers want to understand the spatial tissue structure in the tumor microenvironment.
Cell communication network analysis
Study the interactions between immune cells and tumor cells.
Spatial gene expression patterns
Explore the spatial expression patterns of specific genes in tissues.
Multi - sample comparison analysis
Compare the spatial transcriptomic differences between normal and diseased tissues.

Frequently asked questions

Does ChatSpatial require programming knowledge?
What data formats are supported?
Which AI assistants can be used with it?
How fast is the analysis?
How to ensure the repeatability of the analysis?
What kind of computational resources are required?
How to get technical support?

Related resources

GitHub repository
Source code, issue tracking, and latest updates
Complete documentation
Detailed usage guide, API reference, and tutorials
Installation guide
Step - by - step installation instructions, including virtual environment configuration
Example workflows
Actual analysis cases and step - by - step guides
Method reference
Descriptions of all supported analysis methods and parameters
MCP protocol official website
Official documentation and specifications of the Model Context Protocol
Bioinformatics forum
Discussion of bioinformatics issues and sharing of solutions

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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