An MCP server that exposes causal inference methods (difference-in-differences, synthetic control, propensity matching, and assumption checks) as callable tools, enabling AI agents to run deterministic statistical analyses instead of computing them inline.
MCP server that drives EViews econometrics software from Python or LLM clients via COM automation, enabling workfile creation, model estimation, diagnostics, and data exchange with pandas.
MCP server that enables Claude to directly drive Stata, providing a persistent session and 75 tools for data management, estimation, post-estimation, graphs, and export. It lets users perform full Stata analyses through natural language instructions.
MCP server serving official statistics from major data agencies (Statistics Canada, FRED, BLS, World Bank, etc.) as tools with provenance and verification, enabling search, retrieval, analysis, and monitoring via natural language.
