Skip to main content
Glama

itasca-mcp

English | 简体中文

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.

Related MCP server: mcp-server-terminal

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)

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

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.

Contributing

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

License

MIT - see LICENSE.

Install Server
A
license - permissive license
A
quality
A
maintenance

Maintenance

Maintainers
17hResponse time
3dRelease cycle
27Releases (12mo)
Commit activity
Issues opened vs closed

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/yusong652/itasca-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server