Scanpy-MCP

What is Scanpy-MCP?

Scanpy-MCP is a natural language interface designed for single-cell RNA sequencing (scRNA-Seq) analysis using the Scanpy library. It allows users to perform complex data analysis tasks through simple language commands.

How to use Scanpy-MCP?

To use Scanpy-MCP, install it via PyPI with the command pip install scanpy-mcp, and run it locally or remotely by configuring it in your MCP client. You can execute commands to analyze scRNA-Seq data directly through natural language.

Key features of Scanpy-MCP?

• Input/Output module for reading and writing scRNA-Seq data.
• Preprocessing capabilities including filtering, quality control, normalization, and PCA.
• Analytical tools for clustering and differential expression.
• Visualization options such as violin plots, heatmaps, and dot plots.

Use cases of Scanpy-MCP?

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

FAQ from Scanpy-MCP?

• Who can use Scanpy-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 Scanpy-MCP?

Contributions are welcome! You can submit issues or pull requests on the GitHub repository.