Overview
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?
- Performing scRNA-Seq analysis using natural language queries.
- Integrating with AI clients and agent frameworks for enhanced data analysis.
- 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.