Wraps Python plotting libraries (matplotlib, seaborn, plotly) to generate visualizations through MCP tools. Part of the CLIO Kit suite from IoWarp, which targets scientific computing workflows on HPC systems. You get chart generation from datasets without writing plotting code yourself. Works alongside the other 15 servers in the kit like hdf5-mcp for reading scientific data formats and pandas-mcp for dataframe operations. Useful when you want Claude to turn analysis results into graphs or explore data visually during a research workflow. Outputs charts to files or returns plot data structures depending on the operation. Built for researchers working with simulation outputs, experimental data, or any scenario where you'd normally script visualization in a Jupyter notebook.
claude mcp add --transport stdio io.github.iowarp-plot-mcp uvx plot-mcp