stata-mcp
Let LLM help you achieve your regression with Stata: AI-Powered Stata Code Generation & Regression Analysis.
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.5%) to scientific vocabulary
Keywords
Repository
Let LLM help you achieve your regression with Stata: AI-Powered Stata Code Generation & Regression Analysis.
Basic Info
- Host: GitHub
- Owner: SepineTam
- License: apache-2.0
- Language: Python
- Default Branch: master
- Homepage: https://www.statamcp.com
- Size: 5.15 MB
Statistics
- Stars: 37
- Watchers: 2
- Forks: 4
- Open Issues: 0
- Releases: 17
Topics
Metadata Files
README.md
Stata-MCP
Let LLM help you achieve your regression analysis with Stata ✨
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
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.
json
{
"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
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.
bash
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
bash
pip install stata-mcp
Download source code and compile ```bash git clone https://github.com/sepinetam/stata-mcp.git cd stata-mcp
uv build
``
Then you can find the compiledstata-mcpbinary in thedist` directory. You can use it directly or add it to your PATH.
For example:
bash
uvx /path/to/your/whl/stata_mcp-1.6.2-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
- [x] macOS support
- [x] 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
📚 Citation
If you use Stata-MCP in your research, please cite this repository using one of the following formats:
BibTeX
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 = {1.6.2}
}
APA
Song Tan. (2025). Stata-MCP: Let LLM help you achieve your regression analysis with Stata (Version 1.6.0) [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 1.6.0. https://github.com/sepinetam/stata-mcp.
📬 Contact
Email: sepinetam@gmail.com
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.
✨ Star History
Owner
- Login: SepineTam
- Kind: user
- Repositories: 1
- Profile: https://github.com/SepineTam
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Tan"
given-names: "Song"
email: "sepinetam@gmail.com"
title: "Stata-MCP: Let LLM help you achieve your regression analysis with Stata"
version: 1.6.2
date-released: 2025-08-15
url: "https://github.com/sepinetam/stata-mcp"
repository-code: "https://github.com/sepinetam/stata-mcp"
license: Apache-2.0
GitHub Events
Total
- Create event: 18
- Issues event: 7
- Release event: 14
- Watch event: 33
- Delete event: 4
- Issue comment event: 5
- Push event: 117
- Public event: 1
- Pull request event: 11
- Fork event: 2
Last Year
- Create event: 18
- Issues event: 7
- Release event: 14
- Watch event: 33
- Delete event: 4
- Issue comment event: 5
- Push event: 117
- Public event: 1
- Pull request event: 11
- Fork event: 2
Packages
- Total packages: 1
-
Total downloads:
- pypi 356 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 17
- Total maintainers: 1
pypi.org: stata-mcp
Let LLM help you achieve your regression analysis with Stata
- Homepage: https://www.statamcp.com
- Documentation: https://stata-mcp.readthedocs.io/
- License: Apache-2.0
-
Latest release: 1.6.2
published 6 months ago
Rankings
Maintainers (1)
Dependencies
- dotenv >=0.9.9
- mcp [cli]>=1.6.0
- numpy >=2.2.4
- pandas >=2.2.3
- 124 dependencies