lesong36/dowhy_mcp
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DoWhy MCP v2.0 is a comprehensive server for rigorous causal inference using the Model Context Protocol.
Tools
Functions exposed to the LLM to take actions
Modeling Tools
Tools for causal graph construction and validation, structural and graphical causal models, and causal mechanism learning.
Causal Effect Estimation
Tools for backdoor, frontdoor, and IV identification, linear regression, PSM, doubly robust, DML, causal forests, and TMLE.
Causal Influence Quantification
Tools for Shapley value attribution, direct and total causal influence, and path-specific effects.
Root Cause Analysis
Tools for anomaly attribution, distribution change attribution, and causal chain tracing.
Counterfactual Analysis
Tools for individual and population counterfactuals, intervention simulation, and what-if scenario analysis.
Sensitivity Analysis
Tools for unobserved confounder analysis, comprehensive refutation tests, and E-value and tipping point analysis.
Causal Discovery
Tools for PC, GES, and FCM algorithms and structure learning from data.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client