  In order to place constraints on cosmology through optical surveys of galaxy
clusters, one must first understand the properties of those clusters. To this
end, we introduce the Mass Analysis Tool for Chandra (MATCha), a pipeline which
uses a parallellized algorithm to analyze archival Chandra data. MATCha
simultaneously calculates X-ray temperatures and luminosities and performs
centering measurements for hundreds of potential galaxy clusters using archival
X-ray exposures. We run MATCha on the redMaPPer SDSS DR8 cluster catalog and
use MATCha's output X-ray temperatures and luminosities to analyze the galaxy
cluster temperature-richness, luminosity-richness, luminosity-temperature, and
temperature-luminosity scaling relations. We detect 447 clusters and determine
246 r2500 temperatures across all redshifts. Within 0.1 < z < 0.35 we find that
r2500 Tx scales with optical richness as ln(kB Tx / 1.0 keV) = (0.52 \pm 0.05)
ln({\lambda}/70) + (1.85 \pm 0.03) with intrinsic scatter of 0.27 \pm 0.02 (1
{\sigma}). We investigate the distribution of offsets between the X-ray center
and redMaPPer center within 0.1 < z < 0.35, finding that 68.3 \pm 6.5% of
clusters are well-centered. However, we find a broad tail of large offsets in
this distribution, and we explore some of the causes of redMaPPer miscentering.
