Provides containerized deployment of the data visualization server, making it easy to run in isolated environments.
Powers data visualization through Vega-Lite syntax, allowing users to create customized charts and graphs from saved data tables.
Data Visualization MCP Server
Overview
A Model Context Protocol (MCP) server implementation that provides the LLM an interface for visualizing data using Vega-Lite syntax.
Components
Tools
The server offers two core tools:
save_data
- Save a table of data agregations to the server for later visualization
- Input:
name
(string): Name of the data table to be saveddata
(array): Array of objects representing the data table
- Returns: success message
visualize_data
- Visualize a table of data using Vega-Lite syntax
- Input:
data_name
(string): Name of the data table to be visualizedvegalite_specification
(string): JSON string representing the Vega-Lite specification
- Returns: If the
--output_type
is set totext
, returns a success message with an additionalartifact
key containing the complete Vega-Lite specification with data. If the--output_type
is set topng
, returns a base64 encoded PNG image of the visualization using the MPCImageContent
container.
Usage with Claude Desktop
Usage with uv
Usage with Docker
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
An MCP server that allows AI models to create data visualizations using Vega-Lite syntax by providing tools to save data tables and generate visualizations from them.
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