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itasca-mcp

by yusong652 · Python · ★ 105

MCP server connecting AI agents to ITASCA engines (PFC, FLAC, 3DEC, MPoint, MassFlow) — run numerical simulations through natural conversation

#3dec#ai-agent#claude#claude-code#codex#dem#discrete-element-method#flac#gemini-cli#geomechanics#itasca#itasca-pfc#llm-tools#mcp#mcp-server#model-context-protocol#particle-flow-code#pfc#simulation

Install

pip install git+https://github.com/yusong652/itasca-mcp.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "itasca-mcp": {
      "command": "uvx",
      "args": [
        "git+https://github.com/yusong652/itasca-mcp.git"
      ]
    }
  }
}

From the README

[English](https://github.com/yusong652/itasca-mcp/blob/main/README.md) | [简体中文](https://github.com/yusong652/itasca-mcp/blob/main/README.zh-CN.md) [](https://pypi.org/project/itasca-mcp/) [](https://pepy.tech/project/itasca-mcp) [](https://github.com/yusong652/itasca-mcp/stargazers) [](LICENSE) [](https://www.python.org/) **itasca-mcp** connects AI agents to [ITASCA](https://www.itascacg.com/)'s numerical modeling software — PFC, FLAC, 3DEC, MPoint, and MassFlow — through the [Model Context Protocol](https://modelcontextprotocol.io/). Browse documentation, run simulations, and execute code,…
Read full README on GitHub →

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