VERSION 1.3.2

Stata-MCP

Let Large Language Models (LLM) help you with Stata regression analysis

MIT License macOS Support Windows Support Linux Support

Optimize Your Stata Workflow

Enhance your regression analysis with the power of large language models

Multilingual Support

Supports multiple languages including English, Chinese, French, and Spanish to meet the needs of global users.

LLM Powered

Leverages advanced large language model technology to intelligently generate and optimize Stata code.

Research Friendly

Designed specifically for researchers and academic users, perfectly suited for econometrics and statistical analysis projects.

Code Generation

Automatically generates high-quality Stata code, reducing manual coding errors and improving research efficiency.

IDE Integration

Seamlessly integrates with modern development environments such as VSCode, Cursor, and Jupyter Lab.

Continuous Updates

Regular updates and improvements ensure compatibility with the latest Stata versions and LLM technologies.

Installation Guide

Get started with Stata-MCP in just a few simple steps

System Requirements

  • uv - Package installer and virtual environment manager
  • LLM Service - Claude, Cline, ChatWise, or other LLM service
  • Stata License - Valid Stata license
  • API Key - API key from LLM service

Installation Steps

# Clone the repository
git clone https://github.com/sepinetam/stata-mcp.git
cd stata-mcp

# Using uv (recommended) to test usability
uv run usable.py

# Alternative setup (using pip)
# python3.11 -m venv .venv
# source .venv/bin/activate
# pip install -r requirements.txt

Usage Examples

Learn how to use Stata-MCP in your research

Simplify Your Regression Analysis

Stata-MCP streamlines your workflow by automating complex regression tasks with natural language instructions.

  • 1

    Describe Your Analysis

    Simply describe what you want to analyze in natural language.

  • 2

    Review Generated Code

    Stata-MCP generates optimized Stata code based on your description.

  • 3

    Execute and Analyze

    Run the code directly or make adjustments as needed.

Stata-MCP Demo

Roadmap

Our vision for the future of Stata-MCP

Q2 2025

Online Version Launch

Introducing a web-based version of Stata-MCP for users who prefer cloud-based solutions.

Q3 2025

Advanced Visualization Tools

Implementing new visualization capabilities to better represent complex statistical data.

Q4 2025

Collaborative Features

Adding team collaboration tools for research groups working on shared projects.

Q1 2026

AI-Powered Research Assistant

Developing an intelligent assistant that can suggest research approaches and methodologies.