The MCP Vega-Lite Server provides AI assistants with data visualization capabilities using the Vega-Lite specification language. It offers two core tools: 'save_data' for storing tabular data and 'visualize_data' for generating visualizations from that data. The server can output either text-based Vega-Lite specifications or render them as PNG images, making it flexible for different display needs. Built with Python and containerized with Docker, it's designed for seamless integration with Claude Desktop and other MCP-compatible systems, enabling AI assistants to create custom charts and graphs from user data without leaving the conversation interface.
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