Kernels for one-parameter persistent homology have been established to connect persistent homology with machine learning techniques, We contribute a kernel construction for multiparameter persistence by integrating a one-parameter kernel along straight lines. We prove a stability result for our construction and show that our kernel can be approximated in polynomial time to any absolute precision.