Data Visualization MCP Server

Data Visualization MCP Server

By Mavline GitHub

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data-visualization mcp-server
Overview

what is Data Visualization MCP Server?

The Data Visualization MCP Server is a Model Context Protocol (MCP) server implementation that provides an interface for visualizing data using Vega-Lite syntax.

how to use Data Visualization MCP Server?

To use the server, integrate it with your Claude Desktop configuration by adding the server details to your claude_desktop_config.json file and specify the command and arguments for running the server.

key features of Data Visualization MCP Server?

  • Save data aggregations for later visualization.
  • Visualize data tables using Vega-Lite syntax.
  • Supports output in both text and PNG formats.

use cases of Data Visualization MCP Server?

  1. Creating visual representations of complex datasets.
  2. Saving and retrieving data tables for future analysis.
  3. Generating visualizations for reports and presentations.

FAQ from Data Visualization MCP Server?

  • What is Vega-Lite?

Vega-Lite is a high-level grammar for visual analysis that enables users to create visualizations easily.

  • Can I visualize any type of data?

Yes, as long as the data is formatted correctly and adheres to the Vega-Lite specifications.

  • Is there a limit to the amount of data I can save?

The server can handle large datasets, but performance may vary based on the size and complexity of the data.

Content

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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