stata-mcp: Let LLM help you achieve your regression with Stata. Evolve from reg monkey to causal thinker

by SepineTam · MCP Server · ★ 171

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How to install stata-mcp

claude mcp add stata-mcp --env STATA_MCP_CWD=$(pwd) --scope project -- uvx --directory $(pwd) stata-mcp
claude mcp add stata-mcp --scope user -- uvx stata-mcp

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-codingeconometricsempiricalempirical-researchllmmcpsocial-sciencesocial-science-researchstatastatistical-analysis

Quick Facts

Stars171
Forks27
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score70/100
Open Issues2
Last Updated2026-05-21
Created2025-03-28
Platformsmcp, python
Est. Tokens~488k

About stata-mcp

Stata-MCP Let LLM help you achieve your regression analysis with Stata ✨ Evolve from reg monkey to causal thinker 🐒 - 🧐 Notes: While we strive to make open source accessib

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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