Give AI agents full access to ITASCA PFC, FLAC3D, 3DEC, MPoint, MassFlow: docs, simulation, plots.
itasca-mcp (io.github.yusong652/itasca-mcp)
The itasca-mcp is an MCP server that provides AI agents full access to ITASCA documentation, simulation, and plot capture. It targets geomechanics workflows involving PFC, FLAC3D, and 3DEC, enabling integration through the Model Context Protocol.
🛠️ Key Features
Full access for AI agents to ITASCA documentation
Simulation support for ITASCA tools
Plot capture support
MCP server implementation
🚀 Use Cases
Discrete-element-method workflows for geomechanics
Soil-mechanics and geotechnical-engineering simulations
Automating model documentation, simulation runs, and plot generation for PFC, FLAC3D, and 3DEC
⚡ Developer Benefits
Structured integration via Model Context Protocol (MCP)
Tooling alignment with LLM tool environments (e.g., llm-tools)
Supports agent-oriented development topics including mcp-server and mcp
⚠️ Limitations
The provided source data does not specify supported agent frameworks, authentication, or runtime constraints.
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.
itasca-mcp demo
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 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"
"What's different about the zone commands between FLAC 7.0 and 9.0?"
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.
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:
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, 3DEC: 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
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
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.