cellrank-mcp
If you are the rightful owner of cellrank-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
cellrank-MCP is a natural language interface for scRNA-Seq analysis using cellrank through the Model Context Protocol (MCP).
cellrank-MCP is designed to facilitate single-cell RNA sequencing (scRNA-Seq) analysis by providing a natural language interface that leverages the capabilities of cellrank through the Model Context Protocol (MCP). This tool is particularly useful for researchers and developers who wish to perform complex scRNA-Seq analyses without delving into intricate coding. By integrating with AI clients, plugins, and agent frameworks that support MCP, cellrank-MCP allows users to perform tasks such as data preprocessing, clustering, differential expression analysis, and visualization through simple natural language commands. The tool is highly versatile, supporting both local and remote server configurations, making it accessible for a wide range of applications in computational biology and bioinformatics. With comprehensive documentation and a supportive community, cellrank-MCP is an invaluable resource for anyone looking to streamline their scRNA-Seq analysis workflow.
Features
- IO module for reading and writing scRNA-Seq data
- Preprocessing module for filtering, quality control, normalization, scaling, and more
- Tool module for clustering and differential expression analysis
- Plotting module for creating visualizations like violin plots, heatmaps, and dotplots
- Integration with AI clients and agent frameworks supporting MCP