SCMCP

What is SCMCP?

SCMCP is an MCP server designed for single-cell RNA sequencing (scRNA-Seq) analysis using natural language processing.

How to use SCMCP?

To use SCMCP, install it via PyPI with pip install scmcp, and run it locally or remotely as per your configuration needs.

Key features of SCMCP?

• IO module for reading and writing scRNA-Seq data using natural language.
• Preprocessing capabilities including filtering, quality control, normalization, and PCA.
• Tool modules for clustering and differential expression analysis.
• Plotting options such as violin plots, heatmaps, and dot plots.

Use cases of SCMCP?

1. Performing scRNA-Seq analysis with natural language queries.
2. Integrating with AI clients and agent frameworks for enhanced data analysis.
3. Facilitating data preprocessing and visualization in single-cell studies.

FAQ from SCMCP?

• Who can use SCMCP?

Anyone interested in scRNA-Seq analysis using natural language, including developers of AI clients and plugins.

• Is there a demo available?

Yes! A demo showcasing scRNA-Seq cell cluster analysis is available on the project's GitHub page.

• How can I contribute to SCMCP?

Contributions are welcome! You can submit issues or contact the author for collaboration.