ITASCA MCP Server MCP Server

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itasca-mcp

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itasca>model new ;now, with LLM.

itasca-mcp connects AI agents to ITASCA's numerical modeling software — PFC, FLAC, 3DEC, MPoint, and MassFlow — through the Model Context Protocol. Browse documentation, run simulations, and execute code, all through natural conversation.

itasca>model solve ;LLM solves.

Tools (10)

5 documentation tools — browse and search the selected engine's commands, Python API, and reference docs. No bridge required.

5 execution tools — interactive REPL, task submission, progress monitoring, interruption, and history. Requires bridge.

First-time Setup

Prerequisites

• An ITASCA engine installed — PFC, FLAC, 3DEC, MPoint, or MassFlow. 9.0+ recommended; PFC 6.0 / 7.0 and FLAC 7.0 are also supported.
• uv installed (for uvx)
• An AI agent — Claude Code, Codex CLI, Gemini CLI, or any MCP-capable client

Agentic Setup (Recommended)

Copy this to your AI agent and let it self-configure:

Fetch and follow this bootstrap guide end-to-end:
https://raw.githubusercontent.com/yusong652/itasca-mcp/main/docs/agentic/itasca-mcp-bootstrap.md

Manual Setup

1. Register the MCP server with your agent.

Most agents register it with a single command:

# Claude Code
claude mcp add itasca-mcp -- uvx itasca-mcp

# Codex / Codex-cli
codex mcp add itasca-mcp -- uvx itasca-mcp

# Gemini CLI
gemini mcp add itasca-mcp uvx itasca-mcp

Or fill in the MCP config file manually:

{
  "mcpServers": {
    "itasca-mcp": {
      "command": "uvx",
      "args": ["itasca-mcp"]
    }
  }
}

2. Start the bridge from inside the ITASCA engine:

Download addon.py, then use either of these two flows inside the engine GUI (PFC, FLAC, 3DEC, ...):

• Copy the file contents into the engine's IPython console and run them
• Or download the file and execute it in the engine GUI

<img src="https://raw.githubusercontent.com/yusong652/itasca-mcp/assets/addon.gif" alt="addon.py demo" width="60%">

Verify

Restart your AI agent and ask it to call itasca_execute_code to verify the connection.

Daily Startup

Once first-time setup is done, each new engine session only needs the bridge re-started — run this in the engine's IPython console and you're back online:

import itasca_mcp_bridge
itasca_mcp_bridge.start()

start() checks PyPI for a newer bridge release and self-upgrades before starting. The MCP client config persists.

Features

• Multi-engine corpus - command, Python API, and reference docs for PFC, FLAC, 3DEC, MPoint, and MassFlow, selected via the required software parameter
• Multi-version support - command docs across engine versions (PFC: 6.0/7.0/9.0, FLAC: 7.0/9.0) via the version parameter
• Hierarchical documentation browsing - agents navigate the engine command tree to discover capabilities and boundaries, reducing hallucinated commands
• Enhanced plot documentation - plot items reference docs supplementing the official documentation
• Live REPL alongside running tasks - execute code while a simulation is running: check model state and intermediate results without stopping the task; also useful for quick iteration before writing a full script
• Task lifecycle management - submit long-running simulations, monitor progress, interrupt running tasks, and browse task history
• Multi-client compatible - works with Claude Code, Codex CLI, Gemini CLI, GitHub Copilot CLI, OpenCode, toyoura-nagisa, and other MCP clients

Troubleshooting

See Troubleshooting in the bootstrap guide.

Development

See Developer Guide: Install and Run from Source.

<a href="https://glama.ai/mcp/servers/yusong652/itasca-mcp"> <img width="200" height="105" src="https://glama.ai/mcp/servers/yusong652/itasca-mcp/badge" alt="itasca-mcp MCP server" /> </a>

Contributing

PRs and issues are welcome! See the Developer Guide to get started.

License

MIT - see LICENSE.

<!-- mcp-name: io.github.yusong652/itasca-mcp -->