OpenDSS MCP 服务器

@XJTU-RL

Repository

Basic information

About OpenDSS MCP 服务器

mcp server for LMC

#mcp#opendss#power-simulation

OpenDSS MCP 服务器 config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

OpenDSS MCP 服务器 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is OpenDSS MCP 服务器?

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.

How to use OpenDSS MCP 服务器?

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.

Key features of OpenDSS MCP 服务器

Supports core OpenDSS power system simulation functionality.
Exposes OpenDSS capabilities through MCP resources, tools, and prompt templates.
Provides tools such as compile_dss_file, solve, get_power_flow, get_voltages, and get_losses.
Offers resources like circuit://current, elements://{type}, buses://list, and results://{result_type}.
Includes prompt templates for circuit analysis, power flow solving, and result explanation.

Use cases of OpenDSS MCP 服务器

Compiling and analyzing DSS circuit files.
Solving power flow and retrieving voltage, loss, and power flow results.
Executing arbitrary OpenDSS commands through an MCP tool.
Interfacing OpenDSS simulations with LLM-based assistants for automated analysis.

Frequently asked questions

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.

How do I install OpenDSS MCP 服务器?

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`.

What tools does OpenDSS MCP 服务器 provide?

It provides tools including `compile_dss_file`, `execute_command`, `solve`, `get_power_flow`, `get_voltages`, and `get_losses`.

What resources are available?

Resources include `circuit://current`, `elements://{type}`, `buses://list`, and `results://{result_type}` for accessing circuit, element, bus, and result data.

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