MCP Vegalite Server
Generate visualizations from fetched data using the Vega-Lite format and renderer.
What can you do with MCP Vegalite Server?
save_datavisualize_data
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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_typeis set totext, returns a success message with an additionalartifactkey containing the complete Vega-Lite specification with data. If the--output_typeis set topng, returns a base64 encoded PNG image of the visualization using the MPCImageContentcontainer.
Usage with Claude Desktop
# Add the server to your claude_desktop_config.json
{
"mcpServers": {
"datavis": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/mcp-datavis-server",
"run",
"mcp_server_datavis",
"--output_type",
"png" # or "text"
]
}
}
}
Frequently asked questions
What is MCP Vegalite Server?
Generate visualizations from fetched data using the Vega-Lite format and renderer.
How do I install MCP Vegalite Server?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is MCP Vegalite Server open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains MCP Vegalite Server?
It is published by isaacwasserman. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.