Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
Export simulation results from CST Studio to CSV, Touchstone, or text files for post-processing in external tools like MATLAB or Python. Specify the result path and output format.
Execute Python code for financial analysis, quantitative backtesting, or generating charts. Runs in a sandboxed environment with pandas, numpy, and matplotlib support.