The increasing number of spectra gathered by spectroscopic sky surveys and transiting exoplanet follow-up has pushed the community to develop automated tools for atmospheric stellar parameters determination. Here we present a novel approach that allows the measurement of temperature ($T_{rm eff}$), metallicity ($[{rm Fe}/{rm H}]$) and gravity ($log g$) within a few seconds and in a completely automated fashion. Rather than performing comparisons with spectral libraries, our technique is based on the determination of several cross-correlation functions (CCFs) obtained by including spectral features with different sensitivity to the photospheric parameters. We use literature stellar parameters of high signal-to-noise ($textrm{SNR}$), high-resolution HARPS spectra of FGK Main Sequence stars to calibrate $T_{rm eff}$, $[{rm Fe}/{rm H}]$ and $log g$ as a function of CCFs parameters. Our technique is validated using low $textrm{SNR}$ spectra obtained with the same instrument. For FGK stars we achieve a precision of $sigma_{T_{rm eff}} = 50$ K, $sigma_{log g} = 0.09~ textrm{dex}$ and $sigma_{textrm{Fe}/textrm{H}]} =0.035~ textrm{dex}$ at $textrm{SNR}=50 $, while the precision for observation with $textrm{SNR} gtrsim 100$ and the overall accuracy are constrained by the literature values used to calibrate the CCFs. Our approach can be easily extended to other instruments with similar spectral range and resolution, or to other spectral range and stars other than FGK dwarfs if a large sample of reference stars is available for the calibration. Additionally, we provide the mathematical formulation to convert synthetic equivalent widths to CCF parameters as an alternative to direct calibration. We have made our tool publicly available.
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