BeClaude

scientific-visualization

New
19.9kSmitheryGeneralby davila7

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

First seen 5/29/2026

Install & Usage

1
Open your MCP config
~/.claude.json
2
Add the server config

Add the configuration to "mcpServers": { "scientific-visualization": { "command": "...", "args": [] } }

3
Restart Claude Code
/mcp
View source on GitHub
designresearch

Security Audits

LicenseUnknownSourceWarnRepositoryPass

Frequently Asked Questions

What is scientific-visualization?

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

How to install scientific-visualization?

To install scientific-visualization: open your mcp config (~/.claude.json), then add the config to "mcpServers": { "scientific-visualization": { "command": "...", "args": [] } }. Finally, /mcp in Claude Code.

What is scientific-visualization best for?

scientific-visualization is a mcp categorized under General. It is designed for: design, research. Created by davila7.