seaborn
New19.9kSmitheryData & Analyticsby davila7
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
First seen 6/11/2026
Install & Usage
1
Open your MCP config
~/.claude.json2
Add the server config
Add the configuration to "mcpServers": { "seaborn": { "command": "...", "args": [] } }
3
Restart Claude Code
/mcpView source on GitHub
data-&-analyticsdesign
Security Audits
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Frequently Asked Questions
What is seaborn?
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
How to install seaborn?
To install seaborn: open your mcp config (~/.claude.json), then add the config to "mcpServers": { "seaborn": { "command": "...", "args": [] } }. Finally, /mcp in Claude Code.
What is seaborn best for?
seaborn is a mcp categorized under Data & Analytics. It is designed for: data-&-analytics, design. Created by davila7.