Data Visualization MCP Server

# Data Visualization MCP Server [](https://smithery.ai/server/mcp-server-vegalite) ## 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_vegalite", "--output-type", "png" # or "text" ] } } } ``` ## Usage with uv ```bash uv --directory /Users/markomitranic/Sites/mcp/mcp-vegalite-server run mcp_server_vegalite --output-type png ``` ## Usage with Docker ```bash docker build -t mcp-server-vegalite . docker run -i --rm mcp-server-vegalite --output-type png ```