PowerMCP is an open-source collection of MCP servers for power system software like PowerWorld and OpenDSS. These tools enable LLMs to directly interact with power system applications, facilitating intelligent coordination, simulation, and control in the energy domain.
PowerMCP is an open-source collection of MCP servers for power system software like PowerWorld and OpenDSS. These tools enable LLMs to directly interact with power system applications, facilitating intelligent coordination, simulation, and control in the energy domain.
The Model Context Protocol (MCP) is a revolutionary standard that enables AI applications to seamlessly connect with various external tools. Think of MCP as a universal adapter for AI applications, similar to what USB-C is for physical devices. It provides:
We're building an open-source community focused on accelerating AI adoption in the power domain through MCP. Our goals are:
Check out these demos showcasing PowerMCP in action:
Contingency Evaluation Demo: An LLM automatically operates power system software, such as PowerWorld and pandapower, to perform contingency analysis and generate professional reports.
Loadgrowth Evaluation Demo: An LLM automatically operates power system software, such as PowerWorld, to evaluate different load growth scenarios and generate professional reports with recommendations.
MCP follows a client-server architecture where:
Check out these helpful tutorials to get started with MCP:
To use these MCP tools with an LLM:
pip install mcp-server-git
python your_server.py
{
"mcpServers": {
"servername": {
"command": "python",
"args": ["your_server.py"]
}
}
}
For instance, for pandapower
you could configure the server as follows:
{
"mcpServers": {
"pandapower": {
"command": "python",
"args": ["pandapower/panda_mcp.py"]
}
}
}
For detailed documentation about MCP, please visit:
We welcome contributions! Please see our Contributing Guidelines for details.
This project is licensed under the MIT License - see the LICENSE file for details.
{ "mcpServers": { "powermcp": { "command": "python", "args": [ "your_server.py" ] } } }
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