Delivers rigorous, theoretically-grounded causal inference capabilities for Large Language Model agents.
DoWhy MCP v2.0 is a complete rewrite designed to equip LLM agents with sophisticated causal inference tools via the Model Context Protocol (MCP). Built on foundational theories like Structural Causal Models, Graphical Causal Models, Potential Outcomes, and Do-Calculus, it ensures scientific rigor and theoretical depth in its analyses. This version focuses on providing robust statistical inference, comprehensive sensitivity analysis, and a complete suite of 42 specialized causal tools for a wide range of applications, ensuring that rigorous science meets practical application.