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MCP servers tagged matplotlib
13 live MCP servers tagged "matplotlib", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with matplotlib.
Scitex Python
Umbrella package for SciTeX — reproducible science from raw data to manuscript
abhiphile/fermat-mcp
🚀 Fermat MCP: The Ultimate Math Engine - Unifying SymPy, NumPy & Matplotlib in one powerful server! Perfect for devs & researchers.
PaperPlotHub
面向全球研究人员的开源论文绘图脚本市场 | Open, AI-reviewed marketplace of academic paper plotting scripts for global researchers
Plotting MCP
MCP server that transforms CSV data into visualizations
1c AI Codegen Core
Вычислительное ядро платформы для оценки LLM генерации кода 1С:Предприятие (BSL). Артефакт научно-исследовательской работы для НДР-2026. Развитие проекта: github.com/genlab-1c/pri…
Molecullage
Figures of protein structures, sequences, contact maps, pipelines and plots for papers: an HTML page kit printed to vector PDF and PNG, flat ChimeraX renders, QA checks, and a Cla…
Dataviz MCP
DataViz MCP enables humans and AI assistants to display and inspect python outputs including data viz and data apps in real time.
Mpltweak
Interactive layout editor for matplotlib multi-panel figures — drag, align, snap, then write the numbers back into your Python code.
Biometric Aware Fraud Risk Dashboard With Agentic AI
This system uses biometric signals, behavioral analytics, and an Agentic AI Avatar to detect and explain stock fraud in real time. Built for fintech, it adapts to market shifts an…
Trade Transfer Workflow Optimizer
This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicator…
AI Gateway Evolution Moving From Requests To Results Via Intent
An AI assistant that predicts user intent, translates reports into multiple languages, and supports daily tasks. It uses Node.js for orchestration, PyTorch for intent detection, a…
Dartwork Mpl
Thin matplotlib layer for publication-quality figures — physical-width API, OKLCH color system, content-aware layout, and an MCP server for AI agents.
Figops
FigOps: reproducible research figure pipelines and MCP tooling