Schema | vegalite-viewer

vegalite-viewer

Describes the environment variables required to run the server.

Name	Required	Description	Default
`VEGALITE_VIEWER_DEBUG`	No	Enable detailed debug logging. Set to '1' to enable.

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": true }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
upload_dataA	A tool to upload and register a JSON dataset by name for use in subsequent visualizations. When to use this tool: When the user asks to visualize data, call this tool first to register the dataset, then call visualize_data. How to use this tool: Provide a short, descriptive name and the dataset as a list of JSON objects (records). Each object should share a consistent set of keys (fields).
visualize_dataA	A tool to render a Vega-Lite visualization of a registered dataset directly in the chat. When to use this tool: When the dataset is complex or multi-dimensional and a visual representation would be more informative than text. Not useful for single data points. How to use this tool: Upload the dataset first using the upload_data tool, then reference it by name here. Analyze the dataset's structure and fields to determine which fields map to which visual channels (x, y, color, size, etc.). Construct a Vega-Lite specification for the desired chart type. Consult the Vega-Lite documentation (https://vega.github.io/vega-lite/docs) and example gallery (https://vega.github.io/vega-lite/examples) for guidance. Ensure the spec is a valid instance of the Vega-Lite schema: https://vega.github.io/schema/vega-lite/v6.json. Do not include a "data" key — it is injected automatically from the registered dataset.

Name

Description

A tool to upload and register a JSON dataset by name for use in subsequent visualizations. When to use this tool:

When the user asks to visualize data, call this tool first to register the dataset, then call visualize_data. How to use this tool:
Provide a short, descriptive name and the dataset as a list of JSON objects (records).
Each object should share a consistent set of keys (fields).

A tool to render a Vega-Lite visualization of a registered dataset directly in the chat. When to use this tool:

When the dataset is complex or multi-dimensional and a visual representation would be more informative than text.
Not useful for single data points. How to use this tool:

Upload the dataset first using the upload_data tool, then reference it by name here.
Analyze the dataset's structure and fields to determine which fields map to which visual channels (x, y, color, size, etc.).
Construct a Vega-Lite specification for the desired chart type. Consult the Vega-Lite documentation (https://vega.github.io/vega-lite/docs) and example gallery (https://vega.github.io/vega-lite/examples) for guidance.
Ensure the spec is a valid instance of the Vega-Lite schema: https://vega.github.io/schema/vega-lite/v6.json. Do not include a "data" key — it is injected automatically from the registered dataset.

Interactive templates invoked by user choice

Name	Description
`Create a simple chart for a JSON dataset`	Advises your LLM create a simple chart with a desired type (e.g., 'bar', 'line', 'pie', etc.) for a provided JSON dataset

Contextual data attached and managed by the client

Name	Description
`vegalite_viewer_app`	Vega-Lite visualization viewer app.

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