stata-mcp 1.8.2

Let LLM help you achieve your regression analysis with Stata

Stata-MCP

Let LLM help you achieve your regression analysis with Stata ✨

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News: Now you can use Stata-MCP with agent mode, more information here.

Finding our newest research? Click here or visit reports website.

Looking for others?

• Trace DID: If you want to fetch the newest information about DID (Difference-in-Difference), click here. Now there is a Chinese translation by Sepine Tam and StataMCP-Team 🎉
• Jupyter Lab Usage (Important: Stata 17+) here
• NBER-MCP & AER-MCP 🔧 under construction
• Econometrics-Agent
• TexIV: A machine learning-driven framework that transforms text data into usable variables for empirical research using advanced NLP and ML techniques
• A VScode or Cursor integrated here. Confused it? 💡 Difference

💡 Quick Start

Agent Mode

The details of agent mode find here.

git clone https://github.com/sepinetam/stata-mcp.git
cd stata-mcp

uv sync
uv pip install -e .

stata-mcp --version  # for test whether stata-mcp is installed successfully.
stata-mcp --agent  # now you have enjoy your stata-mcp agent mode.

or you can directly use it with uvx:

uvx stata-mcp --version  # for test whether it could be used on your computer.
uvx stata-mcp --agent

You can edit the task in agent_examples/openai/main.py for variable model_instructions and task_message, click me #L37 and #L68

AI Chat-Bot Client Mode

Standard config requires: please make sure the stata is installed at the default path, and the stata cli (for macOS and Linux) exists.

The standard config json as follows, you can DIY your config via add envs.

{
  "mcpServers": {
    "stata-mcp": {
      "command": "uvx",
      "args": [
        "stata-mcp"
      ]
    }
  }
}

For more detailed usage information, visit the Usage guide.

And some advanced usage, visit the Advanced guide

Prerequisites

• uv - Package installer and virtual environment manager
• Claude, Cline, ChatWise, or other LLM service
• Stata License
• Your API-KEY from LLM

Notes:

1. If you are located in China, a short uv usage document you can find here.
2. Claude is the best choice for Stata-MCP, for Chinese, I recommend to use DeepSeek as your model provider as it is cheap and powerful, also the score is highest in China provider, if you are increased in it, visit the report How to use StataMCP improve your social science research.

Installation

For the new version, you don't need to install the stata-mcp package again, you can just use the following command to check whether your computer can use stata-mcp.

uvx stata-mcp --usable
uvx stata-mcp --version

If you want to use it locally, you can install it via pip or download the source code.

Download via pip

pip install stata-mcp

Download source code and compile

git clone https://github.com/sepinetam/stata-mcp.git
cd stata-mcp

uv build

Then you can find the compiled stata-mcp binary in the dist directory. You can use it directly or add it to your PATH.

For example:

uvx /path/to/your/whl/stata_mcp-1.8.2-py3-non-any.whl  # here is the wheel file name, you can change it to your version

📝 Documentation

• For more detailed usage information, visit the Usage guide.
• Advanced Usage, visit the Advanced
• Some questions, visit the Questions
• Difference with Stata-MCP@hanlulong, visit the Difference

💡 Questions

• Cherry Studio 32000 wrong
• Cherry Studio 32000 error
• Windows Support
• Network Errors When Running Stata-MCP

🚀 Roadmap

• macOS support
• Windows support
• Additional LLM integrations
• Performance optimizations

⚠️ Disclaimer

This project is for research purposes only. I am not responsible for any damage caused by this project. Please ensure you have proper licensing to use Stata.

For more information, refer to the Statement.

🐛 Report Issues

If you encounter any bugs or have feature requests, please open an issue.

📄 License

Apache License 2.0

📚 Citation

If you use Stata-MCP in your research, please cite this repository using one of the following formats:

BibTeX

@software{sepinetam2025stata,
  author = {Song Tan},
  title = {Stata-MCP: Let LLM help you achieve your regression analysis with Stata},
  year = {2025},
  url = {https://github.com/sepinetam/stata-mcp},
  version = {1.8.2}
}

APA

Song Tan. (2025). Stata-MCP: Let LLM help you achieve your regression analysis with Stata (Version 1.8.2) [Computer software]. https://github.com/sepinetam/stata-mcp

Chicago

Song Tan. 2025. "Stata-MCP: Let LLM help you achieve your regression analysis with Stata." Version 1.8.2. https://github.com/sepinetam/stata-mcp.

📬 Contact

Email: [e-mail]

Or contribute directly by submitting a Pull Request! We welcome contributions of all kinds, from bug fixes to new features.

❤️ Acknowledgements

The author sincerely thanks the Stata official team for their support and the Stata License for authorizing the test development.

📃 Statement

The Stata referred to in this project is the commercial software Stata developed by StataCorp LLC. This project is not affiliated with, endorsed by, or sponsored by StataCorp LLC. This project does not include the Stata software or any installation packages; users must obtain and install a validly licensed copy of Stata from StataCorp. This project is licensed under Apache-2.0. The project maintainers accept no liability for any loss or damage arising from the use of this project or from actions related to Stata.

More information: refer to the Chinese version at [source/docs/README/cn/README.md]; in case of any conflict, the Chinese version shall prevail.

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