StatsPAI

by brycewang-stanford · MCP Server · ★ 342

About StatsPAI

English | 中文 StatsPAI: an Agent&Python-native Stata/R replacement for applied causal inference [![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.19

agent-nativeai-agentscausal-discoverycausal-inferencedata-sciencedifference-in-differencesdouble-machine-learningeconometricsinstrumental-variablesllm

Quick Facts

Stars342
Forks72
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score35.3/100
Last Updated2026-10-19
Created2025-07-26
Platformsmcp, python
Est. Tokens~931k

Compatible Skills

These tools work well together with StatsPAI for enhanced workflows:

  • mcp-for-stata — semantic(0.22)+rare_topics+same_lang+similar_pop+shared_platform (47%)
  • stata-mcp — semantic(0.32)+rare_topics+same_lang+similar_pop (45%)

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Frequently Asked Questions

What is StatsPAI?

StatsPAI is StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills,. It is categorized as a MCP Server with 342 GitHub stars.

What programming language is StatsPAI written in?

StatsPAI is primarily written in Python. It covers topics such as agent-native, ai-agents, causal-discovery.

How do I install or use StatsPAI?

You can find installation instructions and usage details in the StatsPAI GitHub repository at github.com/brycewang-stanford/StatsPAI. The project has 342 stars and 72 forks, indicating an active community.

What license does StatsPAI use?

StatsPAI is released under the MIT license, making it free to use and modify according to the license terms.

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