What are the prerequisites for using OpenDSS MCP 服务器?
Python 3.10 or higher and an OpenDSS installation (via `opendssdirect.py`) are required.
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基本信息
mcp server for LMC
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。
OpenDSS MCP 服务器 is an OpenDSS server built with the Model Context Protocol (MCP) framework. It allows power system simulation tools to interact with large language models (LLMs) via the MCP protocol. It is intended for engineers and developers working with power system analysis and simulation.
Install using uv or pip from the Git repository. Start the server in development mode with mcp dev -m opendss_mcp.server or install it to Claude Desktop with mcp install -m opendss_mcp.server. The README provides a Python code example showing how to create an MCP server and use tools like compile_dss_file.
compile_dss_file, solve, get_power_flow, get_voltages, and get_losses.circuit://current, elements://{type}, buses://list, and results://{result_type}.Python 3.10 or higher and an OpenDSS installation (via `opendssdirect.py`) are required.
Install using `uv install git+https://github.com/your-username/opendss-mcp.git` or `pip install git+https://github.com/your-username/opendss-mcp.git`.
It provides tools including `compile_dss_file`, `execute_command`, `solve`, `get_power_flow`, `get_voltages`, and `get_losses`.
Resources include `circuit://current`, `elements://{type}`, `buses://list`, and `results://{result_type}` for accessing circuit, element, bus, and result data.
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