Install
$ agentstack add mcp-yusong652-itasca-mcp ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
itasca-mcp
[](https://pypi.org/project/itasca-mcp/) [](https://pepy.tech/project/itasca-mcp) [](https://github.com/yusong652/itasca-mcp/stargazers) [](LICENSE) [](https://www.python.org/)
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.
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; Python 3-compatible 6.0 / 7.0 builds 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](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
softwareparameter - Multi-version support - command docs across engine versions (e.g. 6.0, 7.0, 9.0) via the
versionparameter - 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](docs/agentic/itasca-mcp-bootstrap.md#troubleshooting) in the bootstrap guide.
Development
See [Developer Guide: Install and Run from Source](docs/development/source-install.md).
Contributing
PRs and issues are welcome! See the [Developer Guide](docs/development/source-install.md) to get started.
License
MIT - see [LICENSE](LICENSE).
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: yusong652
- Source: yusong652/itasca-mcp
- License: MIT
- Homepage: https://pypi.org/project/itasca-mcp/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.