Vega-Lite
About
Create data visualizations using Vega-Lite syntax by saving data tables and generating charts.
Details
- Author
- isaacwasserman
- Repository
- isaacwasserman/mcp-vegalite-server
- GitHub stars
- 86
- Downloads
- 612
- Categories
- Developer Tools, Community, Other, Design, AI, Frontend, Infrastructure
- Tags
- #visualization, #mobile
Jump to
- Two core tools: save_data and visualize_data
- Supports Vega‑Lite specification for chart generation
- Output can be text (Vega‑Lite spec) or PNG image
- Data tables are saved on the server for reuse
- Integrates with MCP clients like Claude Desktop
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Vega-LiteCommand (node, npx, python, etc.)uvArguments-
Argument 1
--directory -
Argument 2
/absolute/path/to/mcp-datavis-server -
Argument 3
run -
Argument 4
mcp_server_datavis -
Argument 5
--output_type -
Argument 6
png
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
{
"mcpServers": {
"datavis": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/mcp-datavis-server",
"run",
"mcp_server_datavis",
"--output_type",
"png" # or "text"
]
}
}
}
save_data
Save a table of data aggregations to the server for later visualization. Parameters: name (string), data (array)
visualize_data
Visualize a table of data using Vega-Lite syntax. Parameters: data_name (string), vegalite_specification (string)
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"vega-lite": {
"env": {},
"args": [
"--directory",
"/absolute/path/to/mcp-datavis-server",
"run",
"mcp_server_datavis",
"--output_type",
"png"
],
"shell": false,
"command": "uv"
}
}
}Linux
{
"env": [],
"args": [
"--directory",
"/absolute/path/to/mcp-datavis-server",
"run",
"mcp_server_datavis",
"--output_type",
"png"
],
"shell": false,
"command": "uv"
}Macos
{
"env": [],
"args": [
"--directory",
"/absolute/path/to/mcp-datavis-server",
"run",
"mcp_server_datavis",
"--output_type",
"png"
],
"shell": false,
"command": "uv"
}Windows
{
"env": [],
"args": [
"--directory",
"/absolute/path/to/mcp-datavis-server",
"run",
"mcp_server_datavis",
"--output_type",
"png"
],
"shell": false,
"command": "uv"
}A Model Context Protocol (MCP) server implementation that provides the LLM an interface for visualizing data using Vega-Lite syntax.
- 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
- 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
# 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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