From 26cedfd784923b7769439a2fce8189b4c61b6d52 Mon Sep 17 00:00:00 2001 From: yusong652 Date: Sat, 14 Mar 2026 06:54:26 +0900 Subject: [PATCH] Add pfc-mcp: MCP server for ITASCA PFC discrete element simulation Adds pfc-mcp to the Data Science Tools category. pfc-mcp is an MCP server that provides AI agents with documentation browsing, script execution, plot capture, and task management for ITASCA PFC (Particle Flow Code), a leading discrete element method (DEM) simulation tool used in geotechnical engineering research. Published on PyPI: https://pypi.org/project/pfc-mcp/ --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 7250a073..13668ef3 100644 --- a/README.md +++ b/README.md @@ -915,6 +915,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan - [kdqed/zaturn](https://github.com/kdqed/zaturn) 🐍 🏠 🪟 🐧 🍎 - Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations. - [mckinsey/vizro-mcp](https://github.com/mckinsey/vizro/tree/main/vizro-mcp) 🎖️ 🐍 🏠 - Tools and templates to create validated and maintainable data charts and dashboards. - [optuna/optuna-mcp](https://github.com/optuna/optuna-mcp) 🎖️ 🐍 🏠 🐧 🍎 - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/). +- [yusong652/pfc-mcp](https://github.com/yusong652/pfc-mcp) 🐍 🏠 🪟 - MCP server for [ITASCA PFC](https://www.itascacg.com/software/pfc) discrete element simulation — browse documentation, execute scripts, capture plots, and manage long-running tasks via a WebSocket bridge to the PFC GUI. - [phisanti/MCPR](https://github.com/phisanti/MCPR) 🏠 🍎 🪟 🐧 - Model Context Protocol for R: enables AI agents to participate in interactive live R sessions. - [phuongrealmax/code-guardian](https://github.com/phuongrealmax/code-guardian) 📇 🏠 - AI-powered code refactor engine with 80+ MCP tools for code analysis, hotspot detection, complexity metrics, persistent memory, and automated refactoring plans. - [pramod/kaggle](https://github.com/KrishnaPramodParupudi/kaggle-mcp-server) 🐍 - This Kaggle MCP Server makes Kaggle more accessible by letting you browse competitions, leaderboards, models, datasets, and kernels directly within MCP, streamlining discovery for data scientists and developers.