Who can benefit from using PyCycle-MCP?

Engineers and developers working on aerospace engine-cycle design, simulation, and analysis using pyCycle and OpenMDAO, seeking robust tooling for workflow automation and data integrity.

What key features does PyCycle-MCP offer?

It provides a FastMCP-powered server with stdio and HTTP transports, tooling for cycle lifecycle management, variable inspection/updates, execution, sweeps, and total-derivative evaluation, all backed by Pydantic validation.

Does PyCycle-MCP support different communication protocols?

Yes, it features a FastMCP-powered server compatible with both stdio (standard input/output) and HTTP-compatible transports, offering flexibility in integration.

Are there examples available to get started quickly?

Absolutely! The repository includes deterministic examples for tooling discovery, session lifecycle management, and snapshot exports, making it easy to understand and implement its functionalities.

PyCycle-MCP is a lightweight Model Context Protocol (MCP) server specifically designed to facilitate and streamline engine-cycle simulation workflows for pyCycle and OpenMDAO.

PyCycle-MCP Server: Engine-Cycle Workflows & OpenMDAO Tooling

PyCycle is a lightweight Model Context Protocol (MCP) server engineered to streamline engine-cycle workflows for aerospace applications using pyCycle and OpenMDAO. It offers a robust backend with stdio and HTTP transports, enabling seamless interaction with complex engineering models. The server provides comprehensive tooling for managing the lifecycle of engine cycles, inspecting and updating variables, executing simulations, performing parameter sweeps, and evaluating total derivatives. With Pydantic-backed validation, it ensures structured error payloads, facilitating reliable development and integration. Deterministic examples are included to validate tooling contracts efficiently in local development and continuous integration environments.

主な機能

011 GitHub stars

02Tooling for cycle lifecycle, variable inspection/updates, execution, sweeps, and total-derivative evaluation

03FastMCP-powered server with stdio and HTTP-compatible transports

04Pydantic-backed validation with structured MCP-style error payloads

05Deterministic examples for repository scaffolding checks and smoke tests

ユースケース

01Building and managing aerospace engine-cycle simulation sessions

02Automating parameter sweeps and sensitivity analyses for engine models

03Integrating pyCycle/OpenMDAO models into external engineering design environments