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itasca-mcp MCP Server

yusong652/itasca-mcp

Score: 86.6 → 0% Rank #670 MCP Server
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MCP server connecting AI agents to ITASCA engines (PFC, FLAC, 3DEC, MPoint, MassFlow) — run geotechnical & geomechanics simulations through natural conversation

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Overview

yusong652/itasca-mcp is a Python MCP server licensed under MIT. MCP server connecting AI agents to ITASCA engines (PFC, FLAC, 3DEC, MPoint, MassFlow) — run geotechnical & geomechanics simulations through natural conversation Topics: ai-agent, claude, claude-code, dem, discrete-element-method, geomechanics, itasca, mcp, mcp-server, model-context-protocol, pfc, particle-flow-code, 3dec, flac, geotechnical-engineering, soil-mechanics, flac3d, material-point-method, mpoint, massflow.

Ranked #670 out of 24846 indexed tools.

In the top 3% of all indexed tools.

Ecosystem

Python MIT
ai-agentclaudeclaude-codedemdiscrete-element-methodgeomechanicsitascamcpmcp-servermodel-context-protocolpfcparticle-flow-code3decflacgeotechnical-engineeringsoil-mechanicsflac3dmaterial-point-methodmpointmassflow

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 213

213 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 88%

7/8 issues closed → responsive maintainer

Contributors 10% 4

4 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 19
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Matched Queries

"mcp server""mcp-server"topic:mcptopic:mcp-servertopic:model-context-protocol

From the README

<p align="center">
  
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# itasca-mcp

[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)

`itasca>model new ;now, with LLM.`

**itasca-mcp** connects AI agents to [ITASCA](https://www.itascacg.com/)'s geomechanics simulation software — PFC, FLAC, 3DEC, MPoint, and MassFlow — through the [Model Context Protocol](https://modelcontextprotocol.io/). 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.

## 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 t
Read full README on GitHub →

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