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mcp-vegalite-server

by isaacwasserman
GitHub
Python
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local-only server

The server can only run on the client’s local machine because it depends on local resources.

Integrations

  • Enables data visualization through Vega-Lite syntax, allowing users to create visualizations from saved data tables by providing Vega-Lite specifications.

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 saved
      • data (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 visualized
      • vegalite_specification (string): JSON string representing the Vega-Lite specification
    • Returns: If the --output_type is set to text, returns a success message with an additional artifact key containing the complete Vega-Lite specification with data. If the --output_type is set to png, returns a base64 encoded PNG image of the visualization using the MPC ImageContent container.

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" ] } } }

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A Model Context Protocol (MCP) server implementation that provides the LLM an interface for visualizing data using Vega-Lite syntax.

  1. Overview
    1. Components
      1. Tools
    2. Usage with Claude Desktop