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

python
# 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"
        ]
    }
  }
}