What operating systems are supported?
STK Engine mode works on Windows and Linux. STK Desktop mode requires Windows. macOS is not supported; STK-dependent tools will be unavailable.
@alti3
基本信息
An MCP server allowing LLMs to interact with Ansys/AGI STK - Digital Mission Engineering Software
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"stk-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
STK-MCP is an MCP (Model Context Protocol) server that enables Large Language Models or other MCP clients to interact with Ansys/AGI STK (Systems Tool Kit), the leading digital mission engineering software. It supports both STK Desktop (Windows only) and STK Engine (Windows & Linux), using the official MCP Python SDK.
Clone the repository, create a virtual environment, add the STK Python wheel from your STK installation, and run uv sync. Then list available tools with uv run -m stk_mcp.cli list-tools and start the server with uv run -m stk_mcp.cli run --mode engine (or --mode desktop on Windows). The server listens on http://127.0.0.1:8765 by default; stop it with Ctrl+C.
list-tools command enumerating available MCP tools.STK Engine mode works on Windows and Linux. STK Desktop mode requires Windows. macOS is not supported; STK-dependent tools will be unavailable.
Python 3.12 or higher, Ansys/AGI STK version 12.x (Desktop or Engine), and the corresponding `agi.stk12` Python wheel from your STK installation.
STK access is serialized with a global lock to avoid concurrency issues with multi-threaded access to the STK instance.
Yes. The server automatically starts an STK instance when launched and closes it when the server is stopped (e.g., via Ctrl+C).
The MCP server listens on HTTP at `127.0.0.1:8765` by default, configurable via environment variables with the `STK_MCP_` prefix. No authentication is described.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
MCP Toolbox for Databases is an open source MCP server for databases.
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
评论