VegaLite
Enables LLMs to visualize data through a Model Context Protocol (MCP) server using Vega-Lite specifications.
About
VegaLite provides an interface for Large Language Models (LLMs) to generate data visualizations. Acting as a Model Context Protocol (MCP) server, it allows LLMs to save data aggregations and then visualize that data using Vega-Lite syntax. It offers two core tools: `save_data` for storing data tables and `visualize_data` for creating visualizations based on specified Vega-Lite specifications. Visualizations can be returned as either a complete Vega-Lite specification or as a base64 encoded PNG image.
Key Features
- Visualizes data using Vega-Lite specifications provided by an LLM.
- Integrates with Claude Desktop via MCP server configuration.
- 40 GitHub stars
- Provides a standardized interface for LLMs to interact with data visualization tools.
- Saves data tables for later visualization.
- Supports outputting visualizations as Vega-Lite JSON or base64 encoded PNG images.
Use Cases
- Allowing LLMs to generate charts and graphs from datasets.
- Facilitating interactive data exploration through LLM-driven visualization generation.
- Enabling LLMs to visually represent the results of data analysis.
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