# Itasca Mcp

> MCP server connecting AI agents to ITASCA engines (PFC, FLAC, 3DEC, MPoint, MassFlow) — run numerical simulations through natural conversation

- **Type:** MCP server
- **Install:** `agentstack add mcp-yusong652-itasca-mcp`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [yusong652](https://agentstack.voostack.com/s/yusong652)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [yusong652](https://github.com/yusong652)
- **Source:** https://github.com/yusong652/itasca-mcp
- **Website:** https://pypi.org/project/itasca-mcp/

## Install

```sh
agentstack add mcp-yusong652-itasca-mcp
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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)

[](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](https://www.itascacg.com/)'s numerical modeling 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. 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](https://docs.astral.sh/uv/getting-started/installation/)** installed (for `uvx`)

### Agentic Setup (Recommended)

Copy this to your AI agent and let it self-configure:

```text
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:

```bash
# 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:

```json
{
  "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:

```python
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 (e.g. 6.0, 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](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](https://github.com/yusong652)
- **Source:** [yusong652/itasca-mcp](https://github.com/yusong652/itasca-mcp)
- **License:** MIT
- **Homepage:** https://pypi.org/project/itasca-mcp/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-yusong652-itasca-mcp
- Seller: https://agentstack.voostack.com/s/yusong652
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.