Let Large Language Models (LLM) help you with Stata regression analysis
Enhance your regression analysis with the power of large language models
Supports multiple languages including English, Chinese, French, and Spanish to meet the needs of global users.
Leverages advanced large language model technology to intelligently generate and optimize Stata code.
Designed specifically for researchers and academic users, perfectly suited for econometrics and statistical analysis projects.
Automatically generates high-quality Stata code, reducing manual coding errors and improving research efficiency.
Seamlessly integrates with modern development environments such as VSCode, Cursor, and Jupyter Lab.
Regular updates and improvements ensure compatibility with the latest Stata versions and LLM technologies.
Get started with Stata-MCP in just a few simple 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
Learn how to use Stata-MCP in your research
Stata-MCP streamlines your workflow by automating complex regression tasks with natural language instructions.
Simply describe what you want to analyze in natural language.
Stata-MCP generates optimized Stata code based on your description.
Run the code directly or make adjustments as needed.
Our vision for the future of Stata-MCP
Introducing a web-based version of Stata-MCP for users who prefer cloud-based solutions.
Implementing new visualization capabilities to better represent complex statistical data.
Adding team collaboration tools for research groups working on shared projects.
Developing an intelligent assistant that can suggest research approaches and methodologies.