The .NET/C# driver for MongoDB introduces idiomatic APIs for constructing queries and aggregations, but these APIs introduce overhead when it comes to troubleshooting and optimizing the underlying MQL. To address this, a static analysis tool using Roslyn was developed to infer the general form of MQL in compile time. The Analyzer maintains a template syntax tree containing a sample MQL generation code from an expression and uses semantic model inspection to create new syntax nodes mirroring all referenced types. This approach resolves data type resolution challenges by porting imported types into the Analyzer compilation space, creating unique type names for each referenced type under a single namespace. The Analyzer also addresses variables resolution issues by replacing external variable and method references with unique constants. Additionally, it overcomes driver version limitations by dynamically resolving the correct driver version for each compilation and loading the correct .NET framework version. Testing was extended using a custom test runner to create integration tests that parse C# test cases project and create test cases for each (DriverVersion, LinqProviderVersion, TestCase) combination. The Analyzer was developed and released in less than three months through a remote ad hoc team collaboration, demonstrating the feasibility of this idea.