Content
[](https://mseep.ai/app/isaacwasserman-mcp-vegalite-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_datavis",
"--output_type",
"png" # or "text"
]
}
}
}
```
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