by yusong652 · MCP Server · ★ 31
flac-mcp English | 简体中文 flac-mcp connects AI agents to ITASCA FLAC through the Model Context Protocol — browse documentation, run simulations, and execute code, all through natural conversation. 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/get
| Stars | 31 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.4979166832023/100 |
| Last Updated | 2026-06-27 |
| Created | 2026-05-19 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~14k |
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flac-mcp is MCP server connecting AI agents to ITASCA FLAC — run continuum simulations through natural conversation. It is categorized as a MCP Server with 31 GitHub stars.
flac-mcp is primarily written in Python. It covers topics such as ai-agent, claude, claude-code.
You can find installation instructions and usage details in the flac-mcp GitHub repository at github.com/yusong652/flac-mcp. The project has 31 stars and 5 forks, indicating an active community.
flac-mcp is released under the MIT license, making it free to use and modify according to the license terms.