Data Visualization
Provides eight specialized data visualization tools including relationship graphs, scatter plots, 3D visualizations, classificatio
A Python-based MCP server that provides comprehensive data visualization capabilities through matplotlib, networkx, and other scientific libraries. The implementation offers eight specialized visualization tools including relationship graphs, scatter plots, 3D visualizations, classification plots, histograms, line charts, and heatmaps, with each plot automatically saved to temporary files and displayed to users. Built using FastMCP for streamlined server setup, it's designed for data analysis workflows where AI assistants need to generate visual representations of datasets, explore relationships between variables, or create publication-ready charts without requiring users to write plotting code directly.
Source
Repository: https://github.com/xlisp/visualization-mcp-server
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