mcp-for-stata MCP Server
SepineTam/mcp-for-stata
[](https://agentrank-ai.com/tool/SepineTam--mcp-for-stata/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Stata-MCP: A MCP server for integrating Stata into your agent loop with a safety-first design.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
SepineTam/mcp-for-stata is a Python MCP server licensed under AGPL-3.0. Stata-MCP: A MCP server for integrating Stata into your agent loop with a safety-first design. Topics: mcp, stata, econometrics, llm, statistical-analysis, empirical, empirical-research, social-science, social-science-research, dsh-plugin, dsh-plugins, claude-code, claude-code-plugin, claude-code-skill, codex, codex-plugin, stata-mcp, safety, security.
Ranked #723 out of 24846 indexed tools.
In the top 3% of all indexed tools.
Ecosystem
Score Breakdown
265 stars → growing community
Last commit 1mo ago → moderate activity
22/24 issues closed → responsive maintainer
6 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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# MCP-for-Stata (Stata-MCP): Run Stata with ANY Agent
MCP-for-Stata is an safety first open-source MCP server and CLI tool with Skills lets any AI agent you use invoke local Stata on your device for regression analysis, econometrics, paper replication, and empirical research. It provides command guards, resource monitoring, automatic log capture, and cross-platform client installation, while you retain control of your data and Stata license.
Turn Claude Code, Codex, and other AI agents into an on-demand research assistant.
> Stata is a registered trademark of StataCorp LLC. This project is an independent community-developed tool and is not affiliated with, endorsed by, or sponsored by StataCorp LLC.
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## 💡 Quick Start
You do not need to edit any configuration. Just tell your agent:
```text
Install MCP-for-Stata for yourself globally following the instructions in the GitHub Read full README on GitHub → Get the weekly AgentRank digest
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