# Flac Mcp

> MCP server connecting AI agents to ITASCA FLAC — run continuum simulations through natural conversation

- **Type:** MCP server
- **Install:** `agentstack add mcp-yusong652-flac-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/flac-mcp
- **Website:** https://pypi.org/project/flac-mcp/

## Install

```sh
agentstack add mcp-yusong652-flac-mcp
```

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

## About

# flac-mcp

> [!WARNING]
> **`flac-mcp` is deprecated and frozen.** It is superseded by
> [**`itasca-mcp`**](https://github.com/yusong652/itasca-mcp) — a single
> multi-engine MCP server covering FLAC, PFC, 3DEC, MPoint, and MassFlow.
> Update your MCP client config from `uvx flac-mcp` to `uvx itasca-mcp`
> (select FLAC docs via the `software` parameter). No further releases are
> planned here.

  

[English](https://github.com/yusong652/flac-mcp/blob/main/README.md) | [简体中文](https://github.com/yusong652/flac-mcp/blob/main/README.zh-CN.md)

[](https://pypi.org/project/flac-mcp/)
[](https://pepy.tech/project/flac-mcp)
[](https://github.com/yusong652/flac-mcp/stargazers)
[](LICENSE)
[](https://www.python.org/)

`flac3d>model new ;now, with LLM.`

**flac-mcp** connects AI agents to [ITASCA FLAC](https://www.itascacg.com/software/flac3d) through the [Model Context Protocol](https://modelcontextprotocol.io/) — browse documentation, run simulations, and execute code, all through natural conversation.

`flac3d>model solve ;LLM solves.`

## Tools (10)

**5 documentation tools** — browse and search FLAC commands, Python API, and reference docs. No bridge required.

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

## First-time Setup

### Prerequisites

- **ITASCA FLAC 6.0, 7.0, or 9.0** installed
- **[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/flac-mcp/main/docs/agentic/flac-mcp-bootstrap.md
```

### Manual Setup

**1. Register the MCP server** in your client config:

```json
{
  "mcpServers": {
    "flac-mcp": {
      "command": "uvx",
      "args": ["flac-mcp"]
    }
  }
}
```

**2. Start the bridge from inside FLAC:**

Download [`addon.py`](addon.py), then use either of these two flows inside FLAC:

- Copy the file contents into the FLAC IPython console and run them
- Or download the file and execute it in FLAC GUI

### Verify

Restart your AI agent (Claude Code, Codex CLI, Gemini CLI, etc.) and ask it to call `flac_execute_code` to verify the connection.

## Daily Startup

Once first-time setup is done, each new FLAC session only needs the bridge re-started — run this in FLAC'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-version FLAC support** - command docs for FLAC 6.0, 7.0, and 9.0 via the `version` parameter
- **Hierarchical documentation browsing** - agents navigate the FLAC 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/flac-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/flac-mcp](https://github.com/yusong652/flac-mcp)
- **License:** MIT
- **Homepage:** https://pypi.org/project/flac-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-flac-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%.