PyPSA MCP Server

Example Use Cases

• 1

  Build and modify PyPSA energy system models (buses, generators, loads, lines, storage) through natural language instructions.

• 2

  Run simulations such as power flow and time-series optimizations (kirchhoff or other formulations) and retrieve results programmatically.

• 3

  Set up time snapshots and time series data, export model summaries, and iterate on model configurations during analysis workflows.

Description

PyPSA MCP provides a Model Context Protocol (MCP) bridge between large language models and PyPSA to create, manage, simulate, and optimize power system models using natural language. It supports creating network components (buses, generators, loads, lines, storage), setting time snapshots, running power flow and optimization (multiple solvers and formulations), and exporting model summaries. The project is open-source and intended to make energy system modelling more accessible to agents and interactive tools.