mcp-stata — security grade SAFE, quality 75/100

Security audit verdict: SAFE · quality 75/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by tmonk · MCP Server · ★ 77

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is mcp-stata safe to install? View the security audit →

About mcp-stata

Stata MCP Server (mcp-stata)   mcp-stata is an agentic toolkit for empirical researchers. It gives AI agents native control over a local Stata installation, allowing agents to run do-files, inspect data, check stored results, and export graphs. Contains a skills catalog for workflows researchers use often: auditing data, replication and robustness checks, specification comparisons, publication QA, referee responses, and modernization of legacy code. Featured in News. If you'd like a fully integrated VS Code extension to run Stata code without leaving your IDE, and also allow AI agent interaction, check out my other project: [ Stata Workbench](https://github.com/tm

aieconometricseconomicsllmmcpmcp-serverstata

Quick Facts

Stars77
Forks16
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score75.293241264174/100
Open Issues13
Last Updated2026-05-12
Created2025-12-12
Platformsmcp, python
Est. Tokens~150k

Compatible Skills

These tools work well together with mcp-stata for enhanced workflows:

  • multimodal-chat — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • bloodhound_mcp — semantic(0.44)+same_lang+similar_pop+shared_platform (51%)
  • netbox-mcp-server — semantic(0.37)+same_lang+similar_pop+shared_platform (48%)
  • kagimcp — semantic(0.33)+same_lang+similar_pop+shared_platform (46%)

mcp-stata alternative? Top 6 similar tools

Looking for a mcp-stata alternative? If you're comparing mcp-stata with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • StatsPAI by brycewang-stanford · ⭐ 323

    StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API,

  • mcp-for-stata by SepineTam · ⭐ 260

    A MCP server for integrating Stata into your agent loop with a safety-first design.

  • stata-mcp by SepineTam · ⭐ 171

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

  • finai-research by csmar432 · ⭐ 106

    Evidence-first AI workflow for economic and financial research: literature → identification → data → econometr

  • openecon-data by hanlulong · ⭐ 76

    Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat & more. MCP se

  • statsclaw by statsclaw · ⭐ 89

    A workflow framework for statistical package development

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Frequently Asked Questions

What is mcp-stata?

mcp-stata is 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 economists who want to. It is categorized as a MCP Server with 77 GitHub stars.

What programming language is mcp-stata written in?

mcp-stata is primarily written in Python. It covers topics such as ai, econometrics, economics.

How do I install or use mcp-stata?

You can find installation instructions and usage details in the mcp-stata GitHub repository at github.com/tmonk/mcp-stata. The project has 77 stars and 16 forks, indicating an active community.

What license does mcp-stata use?

mcp-stata is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-stata?

The top alternatives to mcp-stata on Agent Skills Hub include StatsPAI, mcp-for-stata, stata-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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