MCP server for trajectory inference using cellrank
Overview
What is cellrank-MCP?
cellrank-MCP is a natural language interface designed for single-cell RNA sequencing (scRNA-Seq) analysis, utilizing the capabilities of cellrank for trajectory inference.
How to use cellrank-MCP?
To use cellrank-MCP, install it via PyPI with the command pip install cellrank-mcp, and run it locally or remotely by configuring your MCP client accordingly.
Key features of cellrank-MCP?
- IO module for reading and writing scRNA-Seq data
- Preprocessing capabilities including filtering, quality control, normalization, and PCA
- Tools for clustering and differential expression analysis
- Visualization options such as violin plots, heatmaps, and dot plots
Use cases of cellrank-MCP?
- Performing scRNA-Seq analysis using natural language queries.
- Integrating with AI clients and agent frameworks for enhanced data analysis.
- Facilitating research in single-cell genomics through easy-to-use interfaces.
FAQ from cellrank-MCP?
- Who can use cellrank-MCP?
Anyone interested in scRNA-Seq analysis, including researchers and developers.
- Is there documentation available?
Yes, complete documentation can be found at https://docs.scmcphub.org.
- How can I contribute to the project?
Contributions are welcome! You can submit issues or contact the author for collaboration.