Skip to main content

DEPRECATED - use itasca-mcp. MCP server for ITASCA FLAC simulation control and documentation

Project description

flac-mcp

[!WARNING] flac-mcp is deprecated and frozen. It is superseded by itasca-mcp — a single multi-engine MCP server covering FLAC, PFC, 3DEC, MPoint, and MassFlow.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.

flac-mcp — MCP Server for ITASCA FLAC

English | 简体中文

PyPI Downloads GitHub stars License: MIT Python 3.10+

flac3d>model new ;now, with LLM.

flac-mcp connects AI agents to ITASCA FLAC through the Model Context Protocol — 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 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/flac-mcp/main/docs/agentic/flac-mcp-bootstrap.md

Manual Setup

1. Register the MCP server in your client config:

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

2. Start the bridge from inside FLAC:

Download 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:

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 in the bootstrap guide.

Development

See Developer Guide: Install and Run from Source.

Contributing

PRs and issues are welcome! See the Developer Guide to get started.

License

MIT - see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flac_mcp-0.5.2.tar.gz (712.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

flac_mcp-0.5.2-py3-none-any.whl (1.0 MB view details)

Uploaded Python 3

File details

Details for the file flac_mcp-0.5.2.tar.gz.

File metadata

  • Download URL: flac_mcp-0.5.2.tar.gz
  • Upload date:
  • Size: 712.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for flac_mcp-0.5.2.tar.gz
Algorithm Hash digest
SHA256 cb051f41eca665072b22370dd3d785b30cee7f5000d6dff9c0fa13c1a81836cd
MD5 a795237593d797cb224a2b9ff5554e32
BLAKE2b-256 9bf21546d5d98716524a4ae0e34cbc73bad6a1e73197294d7be1bf5b5144c91a

See more details on using hashes here.

Provenance

The following attestation bundles were made for flac_mcp-0.5.2.tar.gz:

Publisher: publish.yml on yusong652/flac-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file flac_mcp-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: flac_mcp-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for flac_mcp-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 19cdf8ff1c8481ddc282d200a1b1682c764bc03f964c7e912600123d0e95cf7c
MD5 48b71943371d86dc3e3c816a33afd973
BLAKE2b-256 6e43088ac1dbdc419bdcce70e24a2089d6757fc2a642746ab0289b6152da1b0b

See more details on using hashes here.

Provenance

The following attestation bundles were made for flac_mcp-0.5.2-py3-none-any.whl:

Publisher: publish.yml on yusong652/flac-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page