What is Data Visualization MCP Server: Transform Insights into Actionable Intelligence?
This server implements the Model Context Protocol (MCP) to enable large language models (LLMs) to visualize data through Vega-Lite syntax. It acts as an intermediary layer, converting raw data aggregations into interactive visualizations or actionable outputs, streamlining the process of deriving meaningful insights from complex datasets.
How to Use Data Visualization MCP Server: Transform Insights into Actionable Intelligence?
- Configure the server in your
claude_desktop_config.json
with the specified command-line arguments, including the directory path and desired output type (PNG/text). - Save datasets using the
save_data
tool by providing a table name and data array. - Generate visualizations via the
visualize_data
tool by referencing the saved data and defining Vega-Lite specifications. Output format adapts based on the configured--output_type
parameter.