What runtime dependencies does it require?
It requires Python and `uv` package manager. The `mcp_server_datavis` module is invoked via `uv run`.
@isaacwasserman
基本信息
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Save a table of data agregations to the server for later visualization
Visualize a table of data using Vega-Lite syntax
A Model Context Protocol (MCP) server that gives large language models an interface to visualize data using Vega‑Lite syntax. It is designed for use with MCP clients such as Claude Desktop to generate charts and graphs from structured data.
Add the server to your Claude Desktop configuration (claude_desktop_config.json) by specifying the command uv, the directory path, the Python module mcp_server_datavis, and the --output_type flag (set to either png or text). Use the save_data tool to store a data table and the visualize_data tool to render that data as a Vega‑Lite visualization.
save_data and visualize_dataIt requires Python and `uv` package manager. The `mcp_server_datavis` module is invoked via `uv run`.
Data tables are saved in the server’s memory using the `save_data` tool and are referenced by name in `visualize_data`. No external database is used.
Two output types are supported: `text` (returns a JSON Vega‑Lite specification) and `png` (returns a base64‑encoded PNG image wrapped in an MCP `ImageContent` container).
No authentication or authorization mechanism is described in the README. The server runs locally via stdio transport.
It uses standard MCP stdio transport, invoked from the command line.

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