BeClaude

seaborn

New
19.9kSmitheryData & 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.json
2
Add the server config

Add the configuration to "mcpServers": { "seaborn": { "command": "...", "args": [] } }

3
Restart Claude Code
/mcp
View source on GitHub
data-&-analyticsdesign

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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.