PyPSA MCP: Energy Modeling for LLMs

Name: PyPSA MCP: Energy Modeling for LLMs
Author: cdgaete

@cdgaete

Repository

About PyPSA MCP: Energy Modeling for LLMs

PyPSA MCP enables natural language interaction with energy system models through a Model Context Protocol server.

#energy-modeling #power-systems #renewable-energy

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "PyPSA MCP": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "pypsamcp",
        "pypsamcp"
      ]
    }
  }
}

Tools

No tools detected

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

Overview

What is PyPSA MCP: Energy Modeling for LLMs?

PyPSA MCP: Energy Modeling for LLMs allows users to create, analyze, and optimize energy system models using natural language. Built on PyPSA (Python for Power System Analysis), it provides tools for managing components like buses, generators, loads, and transmission lines, setting up time series data, and running power flow and optimization calculations. It is intended for users who want to interact with energy modeling through natural language instructions.

How to use PyPSA MCP: Energy Modeling for LLMs?

Users interact with the server via natural language prompts to describe energy system components and desired analyses. The server translates these prompts into PyPSA operations, enabling model creation, modification, and simulation without writing code directly.

Key features of PyPSA MCP: Energy Modeling for LLMs

Create energy system models using natural language
Manage components: buses, generators, loads, transmission lines
Set up time series data for renewable generation and demand
Run power flow and optimization calculations
Built on PyPSA (Python for Power System Analysis)

Use cases of Py

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