Data Visualization MCP Server

@isaacwasserman

リポジトリ

基本情報

カテゴリ

データと分析

トランスポート

stdio

作者

isaacwasserman

Data Visualization MCP Server について

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Data Visualization MCP Server の設定

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リポジトリ

Data Visualization MCP Server のツール

Save a table of data agregations to the server for later visualization

Visualize a table of data using Vega-Lite syntax

概要

What is Data Visualization MCP Server?

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.

How to use Data Visualization MCP Server?

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.

Key features of Data Visualization MCP Server

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

Use cases of Data Visualization MCP Server

Generate a PNG chart from aggregated data returned by an LLM
Iteratively refine a Vega‑Lite specification before rendering
Create reusable data tables for multiple visualizations in a session
Embed a Vega‑Lite specification in a text response for rendering elsewhere

よくある質問

What runtime dependencies does it require?

It requires Python and `uv` package manager. The `mcp_server_datavis` module is invoked via `uv run`.

How are data tables persisted?

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.

What output formats are supported?

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).

Is authentication required?

No authentication or authorization mechanism is described in the README. The server runs locally via stdio transport.

What transport protocol does it use?

It uses standard MCP stdio transport, invoked from the command line.

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