Create data visualizations from structured data as inline SVG or PNG files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Viz MCP Server" yet — see the docs or source repo.
Create a bar chart from the following data and return it as SVG: Jan 120, Feb 150, Mar 98, Apr 180, May 210. Title it "Monthly Sales" with months on the x-axis and sales on the y-axis.
An embeddable SVG bar chart clearly comparing sales across months.
Plot this website traffic data as a line chart and return a PNG: Monday 320, Tuesday 410, Wednesday 390, Thursday 460, Friday 520, Saturday 610, Sunday 580. Label data points and add the title "Weekly Website Traffic Trend."
A PNG line chart showing weekly traffic trends with labeled data points.
Generate a histogram from the following age data and return it as SVG: 22, 24, 24, 25, 27, 29, 30, 31, 31, 33, 35, 36, 38, 40, 42, 45, 47, 48, 50, 53. Use the title "Customer Age Distribution."
An SVG histogram showing how customer ages are distributed across ranges.
Generate rich charts and support data analysis for clearer visual communication.
Create interactive visualizations, statistical analyses, and self-contained dashboards with HoloViz.
Load, process, and visualize data with Vega-Lite BI charts.
Generate type-safe charts through MCP for AI apps using structured data.
Find D3 docs, get chart recommendations, and generate visualization code.
Turn query results or DataFrames into publication-quality charts with Python.