As sustainability becomes one of the main challenges of the aerospace industry, we need to find new ways to integrate it into the design phase of aerospace systems. The Multidisciplinary Analysis and Optimization (MDAO) framework is a great host for an environmental discipline thanks to its modularity. However current Life Cycle Assessment (LCA) software do not integrate well with other computation tools, and are designed for low amounts of simulations on massive databases, while MDAO requires often many iterations with only slight variations. This work presents newly developed tools aiming at bridging those two valuable methods to enable better use of LCA within MDAO. Symbolic links between classic design variables and associated LCA parameter, python-based tools compatible with \texttt{OpenMDAO}, and optimization of the LCA algorithms to allow for multiple runs on variations of the same overall system makes it possible to integrate LCA considerations inside an MDAO model at reduced performance cost. The resulting framework makes ecodesign more accessible as environmental impacts can be used inside the design process, possibly as main objectives or constraints.