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MCP servers tagged econometrics
12 live MCP servers tagged "econometrics", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with econometrics.
Stata
A lightweight Model Context Protocol (MCP) server for Stata. Execute commands, inspect data, retrieve stored results (r()/e()), and view graphs in your chat interface. Built for e…
Awesome AI For Economists
A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.
StatsPAI
StatsPAI is the first agent-native Python platform for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-rea…
Stata Workbench
A VS Code compatible extension (Cursor, Windsurf, Antigravity etc.) that allows Stata code to be run directly from the editor. Enables AI agents to directly interact with Stata. P…
Stata Code
Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one token-economy result schema, with Stats…
Sparsevar
R package for sparse VAR estimation
Claude Academic Workflow
Academic research workflow for Claude Code: 20 skills covering causal inference (DiD, RDD, IV, synthetic control, field experiments, design triage, preregistration), paper reading…
Stata AI Fusion
MCP Server + Skill + VS Code Extension for Stata: AI-powered statistical analysis
Wbgapi360
Enterprise-grade Async Python Client for World Bank Data360 API with hybrid MCP support for AI Agents (Claude/OpenAI).
Evds MCP
MCP server for the Central Bank of Turkiye's statistical database (EVDS), with stationarity testing built into the relationship analysis
Drtran Python
Box-Jenkins transfer function models by exact maximum likelihood — Python port of drtran. Ships mtram, an MCP server for LLM-driven transfer-model building
Evidence First AI Diligence
Finance-native PE/VC underwriting desk with deterministic mechanics, source-linked evidence, governed model proposals, and human IC control