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itasca-mcp

itasca-mcp

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PyPI Downloads GitHub stars License: MIT Python 3.10+

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. Pick the engine with the software parameter.

itasca>model solve ;LLM solves.

itasca-mcp demo

Tools (10)

5 documentation tools — browse and search the selected engine's commands, Python API, and reference docs (software parameter). 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)

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

addon.py demo

Verify

Restart your AI agent (Claude Code, Codex CLI, Gemini CLI, etc.) 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
  • Interactive REPL - rapid iteration before committing to full scripts; agents can quickly test and refine code
  • 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.

itasca-mcp MCP server

Contributing

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

License

MIT - see LICENSE.

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

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