ITASCA MCP Server

Name: ITASCA MCP Server
Author: yusong652

by yusong652version 0.11.3i★ –iRuns on your computer

Registry nameio.github.yusong652/itasca-mcp

Install

Overview

Description from the maker (original English)

MCP server for ITASCA PFC, FLAC3D, 3DEC, MPoint and MassFlow: search docs, run simulations, plot.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add itasca -- uvx itasca-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "itasca": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "itasca-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account yusong652, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 5670 servers in this category
Published to the registry more recently than 90% of the other 5670 servers in this category
Basic checks equal to or better than 100% of the other 5670 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ITASCA MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.11.3) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

itasca-mcp

English | 简体中文

itasca>model new ;now, with LLM.

itasca-mcp connects AI agents to ITASCA's geomechanics simulation 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 (7)

2 documentation tools — browse by path and search by keywords across the selected engine's commands, Python API, FISH intrinsics, and reference docs. No bridge required.

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

Example Prompts

*"Run a biaxial compression test on a dense specimen and plot the stress–strain curve"*
*"Build a slope model in FLAC3D and find the factor of safety"*
*"Model a tunnel excavation in jointed rock with 3DEC and check block displacements around the opening"*
*"Simulate a landslide runout with MPoint and report the final deposit profile"*
*"The simulation is still running, check the current unbalanced force without stopping it"*
*"Look up the plot commands in the docs, then plot the contact force chains of the current model"*
*"The command I just typed in the console doesn't seem right, take a look"*

First-time Setup

Prerequisites

An ITASCA engine installed — PFC, FLAC, 3DEC, MPoint, or MassFlow. 9.0+ recommended; PFC 6.0 / 7.0, FLAC 7.0, and 3DEC 7.0 are also supported.
[uv](https://docs.astral.sh/uv/getting-started/installation/) 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

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, multi-version corpus - command, Python API, and reference docs for PFC, FLAC, 3DEC, MPoint, and MassFlow across engine versions (PFC: 6.0/7.0/9.0, FLAC: 7.0/9.0, 3DEC: 7.0/9.0), selected via the software and version parameters
Documentation agents can navigate - agents browse the engine command tree to discover capabilities and boundaries, reducing hallucinated commands, with plot item 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
Sees what you do in the GUI - cells you run in the engine's IPython pane, commands you enter at its prompt, the plots and data files you open, close or switch to, the items you add to a plot, the data files you execute from the editor, and the edits you save to a data file (as a diff) all reach the agent on its next call, and on each call it sees the text you have selected in the editor and the files you are still editing, so you can work in the GUI and with the agent at the same time
Works inside your project - the scripts and data files the agent runs appear in the Project pane's Data Files, and a file it changes while you have it open in the editor is reloaded right away
Agent-started bridge - an AI agent can start the bridge itself through the engine's console.exe
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 CONTRIBUTING.md for where changes land and how the documentation corpus is structured, and the Developer Guide for the source install.

License

MIT - see LICENSE.

ITASCA MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

itasca-mcp

Tools (7)

Example Prompts

First-time Setup

Prerequisites

Agentic Setup (Recommended)

Manual Setup

Codex / Codex-cli

Gemini CLI

Verify

Daily Startup

Features

Troubleshooting

Development

Contributing

License