In the rapidly progressing field of quantum metrology, precise parameter estimation is crucial for advanced applications. We are in the process of developing “MetQuan”, a novel toolkit tailored explicitly for variational quantum sensing and metrology. By exploiting foundational principles from quantum mechanics, variational quantum algorithms, and metrology, MetQuan aspires to offer a user-focused platform that coherently melds theoretical depth with hands-on utility. A cornerstone of this nascent toolkit is its broad interoperability with preeminent quantum libraries such as Qiskit, QuTiP, Cirq, PennyLane, and QuanEstimation. Furthermore, understanding the inherent challenges posed by quantum noise, MetQuan is designed to simulate and optimize quantum sensing protocols under various noise conditions, providing tools for users to develop strategies to mitigate quantum noise across different quantum hardware specifications. Additionally, MetQuan provides integrated benchmarking tools, enabling comprehensive comparisons of variational quantum metrology results with traditional methodologies. This work outlines the foundational principles, design, and potential impacts of MetQuan in the quantum metrology landscape.