[{"_1":2,"_340":-5,"_341":-5},"loaderData",{"_3":4,"_22":23,"_257":258},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"bot","id",16748977,"membership","referenceId","01998214-8e08-73cb-9b71-462d52677519","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_24":25,"_77":-5,"_78":38,"_27":79,"_173":174,"_255":256},"availableLocales",[26,38,44,50,57,64,71],{"_27":28,"_31":35,"_36":37},"mcpServer",{"_29":30,"_31":32,"_33":34},"description","Ein MCP-Server, der Large Language Models die Interaktion mit Stata-Software ermöglicht, um Regressionsanalysen und andere statistische Operationen durchzuführen.","name","Stata-MCP","readme","[![de](https://img.shields.io/badge/lang-English-red.svg)](README.md) [![cn](https://img.shields.io/badge/%E8%AF%AD%E8%A8%80-%E4%B8%AD%E6%96%87-yellow.svg)](docs/README/cn/README.md) [![fr](https://img.shields.io/badge/langue-Fran%C3%A7ais-blue.svg)](docs/README/fr/README.md) [![sp](https://img.shields.io/badge/Idioma-Espa%C3%B1ol-green.svg)](docs/README/sp/README.md)![Version](https://img.shields.io/badge/version-1.3.2-blue.svg) [![Schmiedeabzeichen](https://smithery.ai/badge/@SepineTam/stata-mcp)](https://smithery.ai/server/@SepineTam/stata-mcp) [![Lizenz: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![Ausgabe](https://img.shields.io/badge/Issue-report-green.svg)](https://github.com/sepinetam/stata-mcp/issues/new)\n\n> Lassen Sie sich von LLM bei der Durchführung Ihrer Regressionsanalyse mit Stata unterstützen.\n>\n> Version 2.xx kommt bald~, sie wird leistungsstärker und mit mehr Erweiterungen ausgestattet sein.\n\n***\n\n> Suchen Sie nach anderen Stata-Integrationen oder anderen?\n>\n> * Ein VScode oder Cursor ist [hier](https://github.com/hanlulong/stata-mcp) integriert. Verwirrt? 💡 [Unterschied](docs/Difference.md)\n> * Jupyter Lab-Nutzung (Wichtig: Stata 17+) [hier](https://github.com/sepinetam/Jupyter-Stata)\n> * [NBER-MCP](https://github.com/sepinetam/NBER-MCP) 🔧 im Aufbau\n> * [AER-MCP](https://github.com/sepinetam/AER-MCP)\n\n## 💡 Schnellstart\n\nAusführlichere Informationen zur Verwendung finden Sie im [Verwendungshandbuch](docs/Usages/Usage.md) .\n\nUnd einige fortgeschrittene Verwendungsmöglichkeiten finden Sie im [Erweiterten Handbuch](docs/Usages/Advanced.md)\n\n### Voraussetzungen\n\n* [uv](https://github.com/astral-sh/uv) - Paketinstallationsprogramm und virtueller Umgebungsmanager\n* Claude, Cline, ChatWise oder andere LLM-Dienste\n* Stata-Lizenz\n* Ihr API-KEY von LLM\n\n### Installation\n\n```bash\n# Clone the repository\ngit clone https://github.com/sepinetam/stata-mcp.git\ncd stata-mcp\n\n# Using uv (recommended) to test usable\nuv run usable.py\n\n# Alternative setup with pip\n# python3.11 -m venv .venv\n# source .venv/bin/activate\n# pip install -r requirements.txt\n```\n\n## 📝 Dokumentation\n\n* Ausführlichere Informationen zur Verwendung finden Sie im [Verwendungshandbuch](docs/Usages/Usage.md) .\n* Erweiterte Nutzung, besuchen Sie die [Erweiterte](docs/Usages/Advanced.md)\n* Einige Fragen, besuchen Sie die [Fragen](docs/Usages/Questions.md)\n* Unterschied zu [Stata-MCP@hanlulong](https://github.com/hanlulong/stata-mcp) , besuchen Sie den [Unterschied](docs/Difference.md)\n\n## 💡 Fragen\n\n* [Cherry Studio 32000 falsch](docs/Usages/Questions.md#cherry-studio-32000-wrong)\n* [Windows-Unterstützung](docs/Usages/Questions.md#windows-supports)\n\n## 🚀 Roadmap\n\n* \\[x] macOS-Unterstützung\n* \\[x] Windows-Unterstützung\n* \\[ ] Zusätzliche LLM-Integrationen\n* \\[ ] Leistungsoptimierungen\n\n## ⚠️ Haftungsausschluss\n\nDieses Projekt dient ausschließlich Forschungszwecken. Ich übernehme keine Haftung für Schäden, die durch dieses Projekt entstehen. Bitte stellen Sie sicher, dass Sie über die entsprechende Lizenz zur Nutzung von Stata verfügen.\n\nWeitere Informationen finden Sie in der [Erklärung](docs/Rights/Statement.md) .\n\n## 🐛 Probleme melden\n\nWenn Sie auf Fehler stoßen oder Funktionswünsche haben, [öffnen Sie bitte ein Problem](https://github.com/sepinetam/stata-mcp/issues/new) .\n\n## 📄 Lizenz\n\n[MIT-Lizenz](LICENSE) und Erweiterungen\n\n## 📚 Zitat\n\nWenn Sie Stata-MCP in Ihrer Forschung verwenden, zitieren Sie dieses Repository bitte in einem der folgenden Formate:\n\n### BibTeX\n\n```bibtex\n@software{sepinetam2025stata,\n author = {Song Tan},\n title = {Stata-MCP: Let LLM help you achieve your regression analysis with Stata},\n year = {2025},\n url = {https://github.com/sepinetam/stata-mcp},\n version = {1.3.2}\n}\n```\n\n### APA\n\n```\nSong Tan. (2025). Stata-MCP: Let LLM help you achieve your regression analysis with Stata (Version 1.3.2) [Computer software]. https://github.com/sepinetam/stata-mcp\n```\n\n### Chicago\n\n```\nSong Tan. 2025. \"Stata-MCP: Let LLM help you achieve your regression analysis with Stata.\" Version 1.3.2. https://github.com/sepinetam/stata-mcp.\n```\n\n## 📬 Kontakt\n\nE-Mail: \n\nOder leisten Sie direkt einen Beitrag, indem Sie einen [Pull Request](https://github.com/sepinetam/stata-mcp/pulls) einreichen! Wir freuen uns über Beiträge aller Art, von Fehlerbehebungen bis hin zu neuen Funktionen.\n\n## ❤️ Danksagungen\n\nDer Autor dankt dem offiziellen Stata-Team aufrichtig für seine Unterstützung und der Stata-Lizenz für die Autorisierung der Testentwicklung.\n\n## ✨ Sternengeschichte\n\n[![Sternenverlaufsdiagramm](https://api.star-history.com/svg?repos=sepinetam/stata-mcp\\&type=Date)](https://www.star-history.com/#sepinetam/stata-mcp\\&Date)","German","tag","de-DE",{"_27":39,"_31":42,"_36":43},{"_29":40,"_31":32,"_33":41},"An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.","

\n $\"logo\"$ \n

\n\n

Stata-MCP

\n\n

Let LLM help you achieve your regression analysis with Stata ✨

\n\n[![en](https://img.shields.io/badge/lang-English-red.svg)](README.md)\n[![cn](https://img.shields.io/badge/语言-中文-yellow.svg)](docs/README/cn/README.md)\n[![fr](https://img.shields.io/badge/langue-Français-blue.svg)](docs/README/fr/README.md)\n[![sp](https://img.shields.io/badge/Idioma-Español-green.svg)](docs/README/sp/README.md)\n![Version](https://img.shields.io/badge/version-1.3.2-blue.svg)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)\n[![Issue](https://img.shields.io/badge/Issue-report-green.svg)](https://github.com/sepinetam/stata-mcp/issues/new)\n\n---\n\n> Looking for other Stata integrations or others?\n>\n> - A VScode or Cursor integrated [here](https://github.com/hanlulong/stata-mcp). Confused it? 💡 [Difference](docs/Difference.md)\n> - Jupyter Lab Usage (Important: Stata 17+) [here](https://github.com/sepinetam/Jupyter-Stata)\n> - [NBER-MCP](https://github.com/sepinetam/NBER-MCP) 🔧 under construction\n> - [AER-MCP](https://github.com/sepinetam/AER-MCP)\n\n## 💡 Quick Start\nFor more detailed usage information, visit the [Usage guide](docs/Usages/Usage.md). \n\nAnd some advanced usage, visit the [Advanced guide](docs/Usages/Advanced.md)\n\n### Prerequisites\n- [uv](https://github.com/astral-sh/uv) - Package installer and virtual environment manager\n- Claude, Cline, ChatWise, or other LLM service\n- Stata License\n- Your API-KEY from LLM\n\n### Installation\n```bash\n# Clone the repository\ngit clone https://github.com/sepinetam/stata-mcp.git\ncd stata-mcp\n\n# Using uv (recommended) to test usable\nuv run usable.py\n\n# Alternative setup with pip\n# python3.11 -m venv .venv\n# source .venv/bin/activate\n# pip install -r requirements.txt\n```\n\n## 📝 Documentation\n- For more detailed usage information, visit the [Usage guide](docs/Usages/Usage.md).\n- Advanced Usage, visit the [Advanced](docs/Usages/Advanced.md)\n- Some questions, visit the [Questions](docs/Usages/Questions.md)\n- Difference with [Stata-MCP@hanlulong](https://github.com/hanlulong/stata-mcp), visit the [Difference](docs/Difference.md)\n\n## 💡 Questions\n- [Cherry Studio 32000 wrong](docs/Usages/Questions.md#cherry-studio-32000-wrong)\n- [Windows Support](docs/Usages/Questions.md#windows-supports)\n\n## 🚀 Roadmap\n- [x] macOS support\n- [x] Windows support\n- [ ] Additional LLM integrations\n- [ ] Performance optimizations\n\n## ⚠�� Disclaimer\nThis 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.\n\nFor more information, refer to the [Statement](docs/Rights/Statement.md).\n\n## 🐛 Report Issues\nIf you encounter any bugs or have feature requests, please [open an issue](https://github.com/sepinetam/stata-mcp/issues/new).\n\n## 📄 License\n[MIT License](LICENSE) and Extensions\n\n## 📚 Citation\nIf you use Stata-MCP in your research, please cite this repository using one of the following formats:\n\n### BibTeX\n```bibtex\n@software{sepinetam2025stata,\n author = {Song Tan},\n title = {Stata-MCP: Let LLM help you achieve your regression analysis with Stata},\n year = {2025},\n url = {https://github.com/sepinetam/stata-mcp},\n version = {1.3.2}\n}\n```\n\n### APA\n```\nSong Tan. (2025). Stata-MCP: Let LLM help you achieve your regression analysis with Stata (Version 1.3.2) [Computer software]. https://github.com/sepinetam/stata-mcp\n```\n\n### Chicago\n```\nSong Tan. 2025. \"Stata-MCP: Let LLM help you achieve your regression analysis with Stata.\" Version 1.3.2. https://github.com/sepinetam/stata-mcp.\n```\n\n## 📬 Contact\nEmail: [sepinetam@gmail.com](mailto:sepinetam@gmail.com)\n\nOr contribute directly by submitting a [Pull Request](https://github.com/sepinetam/stata-mcp/pulls)! We welcome contributions of all kinds, from bug fixes to new features.\n\n## ❤️ Acknowledgements\nThe author sincerely thanks the Stata official team for their support and the Stata License for authorizing the test development.\n\n## ✨ Star History\n\n[![Star History Chart](https://api.star-history.com/svg?repos=sepinetam/stata-mcp&type=Date)](https://www.star-history.com/#sepinetam/stata-mcp&Date)\n\n","English","en-US",{"_27":45,"_31":48,"_36":49},{"_29":46,"_31":32,"_33":47},"Un servidor MCP que permite que los modelos de lenguaje grandes interactúen con el software Stata para realizar análisis de regresión y otras operaciones estadísticas.","[![en](https://img.shields.io/badge/lang-English-red.svg)](README.md) [![cn](https://img.shields.io/badge/%E8%AF%AD%E8%A8%80-%E4%B8%AD%E6%96%87-yellow.svg)](docs/README/cn/README.md) [![de](https://img.shields.io/badge/langue-Fran%C3%A7ais-blue.svg)](docs/README/fr/README.md) [![es](https://img.shields.io/badge/Idioma-Espa%C3%B1ol-green.svg)](docs/README/sp/README.md)![Versión](https://img.shields.io/badge/version-1.3.2-blue.svg) [![insignia de herrería](https://smithery.ai/badge/@SepineTam/stata-mcp)](https://smithery.ai/server/@SepineTam/stata-mcp) [![Licencia: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![Asunto](https://img.shields.io/badge/Issue-report-green.svg)](https://github.com/sepinetam/stata-mcp/issues/new)\n\n> Deje que LLM le ayude a realizar su análisis de regresión con Stata.\n>\n> Próximamente la versión 2.xx, que será más potente y tendrá mayor extensión.\n\n***\n\n> ¿Buscas otras integraciones de Stata u otras?\n>\n> * [Aquí](https://github.com/hanlulong/stata-mcp) se integra un VScode o un cursor. ¿Te confundes? 💡 [Diferencia](docs/Difference.md)\n> * Uso de Jupyter Lab (Importante: Stata 17+) [aquí](https://github.com/sepinetam/Jupyter-Stata)\n> * [NBER-MCP](https://github.com/sepinetam/NBER-MCP) 🔧 en construcción\n> * [AER-MCP](https://github.com/sepinetam/AER-MCP)\n\n## 💡 Inicio rápido\n\nPara obtener información de uso más detallada, visita la [Guía de uso](docs/Usages/Usage.md) .\n\nY para un uso más avanzado, visita la [Guía avanzada](docs/Usages/Advanced.md)\n\n### Prerrequisitos\n\n* [uv](https://github.com/astral-sh/uv) - Instalador de paquetes y gestor de entornos virtuales\n* Claude, Cline, ChatWise u otro servicio LLM\n* Licencia Stata\n* Su API-KEY de LLM\n\n### Instalación\n\n```bash\n# Clone the repository\ngit clone https://github.com/sepinetam/stata-mcp.git\ncd stata-mcp\n\n# Using uv (recommended) to test usable\nuv run usable.py\n\n# Alternative setup with pip\n# python3.11 -m venv .venv\n# source .venv/bin/activate\n# pip install -r requirements.txt\n```\n\n## 📝 Documentación\n\n* Para obtener información de uso más detallada, visita la [Guía de uso](docs/Usages/Usage.md) .\n* Uso avanzado, visite la [sección Uso avanzado](docs/Usages/Advanced.md)\n* Algunas preguntas, visita la [sección de Preguntas](docs/Usages/Questions.md)\n* Diferencia con [Stata-MCP@hanlulong](https://github.com/hanlulong/stata-mcp) , visita la [Diferencia](docs/Difference.md)\n\n## 💡 Preguntas\n\n* [Cherry Studio 32000 incorrecto](docs/Usages/Questions.md#cherry-studio-32000-wrong)\n* [Soporte de Windows](docs/Usages/Questions.md#windows-supports)\n\n## 🚀 Hoja de ruta\n\n* \\[x] Compatibilidad con macOS\n* \\[x] Compatibilidad con Windows\n* \\[ ] Integraciones adicionales de LLM\n* \\[ ] Optimizaciones de rendimiento\n\n## ⚠️ Descargo de responsabilidad\n\nEste proyecto es solo para fines de investigación. No me hago responsable de ningún daño causado por este proyecto. Por favor, asegúrese de tener la licencia correspondiente para usar Stata.\n\nPara obtener más información, consulte la [Declaración](docs/Rights/Statement.md) .\n\n## 🐛 Informar problemas\n\nSi encuentra algún error o tiene solicitudes de funciones, [abra un problema](https://github.com/sepinetam/stata-mcp/issues/new) .\n\n## 📄 Licencia\n\n[Licencia y extensiones del MIT](LICENSE)\n\n## 📚 Cita\n\nSi utiliza Stata-MCP en su investigación, cite este repositorio utilizando uno de los siguientes formatos:\n\n### BibTeX\n\n```bibtex\n@software{sepinetam2025stata,\n author = {Song Tan},\n title = {Stata-MCP: Let LLM help you achieve your regression analysis with Stata},\n year = {2025},\n url = {https://github.com/sepinetam/stata-mcp},\n version = {1.3.2}\n}\n```\n\n### APA\n\n```\nSong Tan. (2025). Stata-MCP: Let LLM help you achieve your regression analysis with Stata (Version 1.3.2) [Computer software]. https://github.com/sepinetam/stata-mcp\n```\n\n### Chicago\n\n```\nSong Tan. 2025. \"Stata-MCP: Let LLM help you achieve your regression analysis with Stata.\" Version 1.3.2. https://github.com/sepinetam/stata-mcp.\n```\n\n## 📬 Contacto\n\nCorreo electrónico: \n\n¡O contribuye directamente enviando una [solicitud de incorporación de cambios](https://github.com/sepinetam/stata-mcp/pulls) ! Aceptamos contribuciones de todo tipo, desde correcciones de errores hasta nuevas funciones.\n\n## ❤️ Agradecimientos\n\nEl autor agradece sinceramente al equipo oficial de Stata por su apoyo y a la Licencia Stata por autorizar el desarrollo de la prueba.\n\n## ✨ Historia de las estrellas\n\n[![Gráfico de la historia de las estrellas](https://api.star-history.com/svg?repos=sepinetam/stata-mcp\\&type=Date)](https://www.star-history.com/#sepinetam/stata-mcp\\&Date)","Spanish","es-ES",{"_27":51,"_31":55,"_36":56},{"_29":52,"_31":53,"_33":54},"大規模言語モデルが Stata ソフトウェアと対話して回帰分析やその他の統計操作を実行できるようにする MCP サーバー。","スタタMCP","[![エン](https://img.shields.io/badge/lang-English-red.svg)](README.md) [![cn](https://img.shields.io/badge/%E8%AF%AD%E8%A8%80-%E4%B8%AD%E6%96%87-yellow.svg)](docs/README/cn/README.md) [![fr](https://img.shields.io/badge/langue-Fran%C3%A7ais-blue.svg)](docs/README/fr/README.md) [![sp](https://img.shields.io/badge/Idioma-Espa%C3%B1ol-green.svg)](docs/README/sp/README.md)![バージョン](https://img.shields.io/badge/version-1.3.2-blue.svg) [![鍛冶屋のバッジ](https://smithery.ai/badge/@SepineTam/stata-mcp)](https://smithery.ai/server/@SepineTam/stata-mcp) [![ライセンス: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![問題](https://img.shields.io/badge/Issue-report-green.svg)](https://github.com/sepinetam/stata-mcp/issues/new)\n\n> LLM が Stata を使用した回帰分析の実現をお手伝いします。\n>\n> バージョン 2.xx が近日中に登場します。より強力になり、拡張機能も増えます。\n\n***\n\n> 他の Stata 統合などをお探しですか?\n>\n> * VScodeまたはカーソルが[ここに](https://github.com/hanlulong/stata-mcp)統合されています。混乱しましたか？💡[違い](docs/Difference.md)\n> * Jupyter Lab の使用法（重要：Stata 17 以上）[はこちら](https://github.com/sepinetam/Jupyter-Stata)\n> * [NBER-MCP](https://github.com/sepinetam/NBER-MCP) 🔧 建設中\n> * [AER-MCP](https://github.com/sepinetam/AER-MCP)\n\n## 💡 クイックスタート\n\n詳しい使用方法については、[使用ガイド](docs/Usages/Usage.md)をご覧ください。\n\n高度な使い方については、[上級ガイド](docs/Usages/Advanced.md)をご覧ください。\n\n### 前提条件\n\n* [uv](https://github.com/astral-sh/uv) - パッケージインストーラーと仮想環境マネージャー\n* Claude、Cline、ChatWise、またはその他のLLMサービス\n* Stataライセンス\n* LLMからのAPIキー\n\n### インストール\n\n```bash\n# Clone the repository\ngit clone https://github.com/sepinetam/stata-mcp.git\ncd stata-mcp\n\n# Using uv (recommended) to test usable\nuv run usable.py\n\n# Alternative setup with pip\n# python3.11 -m venv .venv\n# source .venv/bin/activate\n# pip install -r requirements.txt\n```\n\n## 📝 ドキュメント\n\n* 詳しい使用方法については、[使用ガイド](docs/Usages/Usage.md)をご覧ください。\n* 高度な使用方法については、[高度な](docs/Usages/Advanced.md)\n* いくつか質問があります。[質問](docs/Usages/Questions.md)をご覧ください。\n* [Stata-MCP@hanlulong](https://github.com/hanlulong/stata-mcp)との違いについては、[違いを](docs/Difference.md)ご覧ください。\n\n## 💡 質問\n\n* [Cherry Studio 32000 が間違っている](docs/Usages/Questions.md#cherry-studio-32000-wrong)\n* [Windows サポート](docs/Usages/Questions.md#windows-supports)\n\n## 🚀 ロードマップ\n\n* \\[x] macOSサポート\n* \\[x] Windowsサポート\n* \\[ ] 追加のLLM統合\n* \\[ ] パフォーマンスの最適化\n\n## ⚠️免責事項\n\nこのプロジェクトは研究目的のみに使用されます。このプロジェクトによって生じたいかなる損害についても、私は責任を負いません。Stataを使用するには、適切なライセンスをお持ちであることをご確認ください。\n\n詳細については、[声明](docs/Rights/Statement.md)を参照してください。\n\n## 🐛 問題を報告する\n\nバグが発生した場合や機能のリクエストがある場合は、[問題を報告して](https://github.com/sepinetam/stata-mcp/issues/new)ください。\n\n## 📄 ライセンス\n\n[MITライセンス](LICENSE)と拡張機能\n\n## 📚 引用\n\n研究で Stata-MCP を使用する場合は、次のいずれかの形式を使用してこのリポジトリを引用してください。\n\n### ビブテックス\n\n```bibtex\n@software{sepinetam2025stata,\n author = {Song Tan},\n title = {Stata-MCP: Let LLM help you achieve your regression analysis with Stata},\n year = {2025},\n url = {https://github.com/sepinetam/stata-mcp},\n version = {1.3.2}\n}\n```\n\n### アパ\n\n```\nSong Tan. (2025). Stata-MCP: Let LLM help you achieve your regression analysis with Stata (Version 1.3.2) [Computer software]. https://github.com/sepinetam/stata-mcp\n```\n\n### シカゴ\n\n```\nSong Tan. 2025. \"Stata-MCP: Let LLM help you achieve your regression analysis with Stata.\" Version 1.3.2. https://github.com/sepinetam/stata-mcp.\n```\n\n## 📬 お問い合わせ\n\nメールアドレス: \n\nまたは、[プルリクエスト](https://github.com/sepinetam/stata-mcp/pulls)を送信して直接貢献してください。バグ修正から新機能まで、あらゆる種類の貢献を歓迎します。\n\n## ❤️ 謝辞\n\n著者は、サポートしてくれた Stata 公式チームと、テスト開発を許可してくれた Stata ライセンスに心から感謝します。\n\n## ✨ スターの歴史\n\n[![星の歴史チャート](https://api.star-history.com/svg?repos=sepinetam/stata-mcp\\&type=Date)](https://www.star-history.com/#sepinetam/stata-mcp\\&Date)","Japanese","ja-JP",{"_27":58,"_31":62,"_36":63},{"_29":59,"_31":60,"_33":61},"대규모 언어 모델이 Stata 소프트웨어와 상호 작용하여 회귀 분석 및 기타 통계 작업을 수행할 수 있게 해주는 MCP 서버입니다.","스타타-MCP","[![엔](https://img.shields.io/badge/lang-English-red.svg)](README.md) [![씨엔](https://img.shields.io/badge/%E8%AF%AD%E8%A8%80-%E4%B8%AD%E6%96%87-yellow.svg)](docs/README/cn/README.md) [![정말로](https://img.shields.io/badge/langue-Fran%C3%A7ais-blue.svg)](docs/README/fr/README.md) [![sp](https://img.shields.io/badge/Idioma-Espa%C3%B1ol-green.svg)](docs/README/sp/README.md)![버전](https://img.shields.io/badge/version-1.3.2-blue.svg) [![대장간 배지](https://smithery.ai/badge/@SepineTam/stata-mcp)](https://smithery.ai/server/@SepineTam/stata-mcp) [![라이센스: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![문제](https://img.shields.io/badge/Issue-report-green.svg)](https://github.com/sepinetam/stata-mcp/issues/new)\n\n> LLM이 Stata를 이용해 회귀 분석을 수행하는 데 도움을 드리겠습니다.\n>\n> 버전 2.xx가 곧 출시됩니다. 더욱 강력하고 확장성이 높아질 예정입니다.\n\n***\n\n> 다른 Stata 통합이나 다른 솔루션을 찾고 계신가요?\n>\n> * VScode나 Cursor가 [여기에](https://github.com/hanlulong/stata-mcp) 통합되어 있습니다. 헷갈리시나요? 💡 [차이점](docs/Difference.md)\n> * Jupyter Lab 사용법(중요: Stata 17+) [여기](https://github.com/sepinetam/Jupyter-Stata)\n> * [NBER-MCP](https://github.com/sepinetam/NBER-MCP) 🔧 공사 중\n> * [AER-MCP](https://github.com/sepinetam/AER-MCP)\n\n## 💡 빠른 시작\n\n더 자세한 사용 정보를 보려면 [사용 가이드를](docs/Usages/Usage.md) 방문하세요.\n\n그리고 고급 사용법에 대해서는 [고급 가이드를](docs/Usages/Advanced.md) 방문하세요.\n\n### 필수 조건\n\n* [uv](https://github.com/astral-sh/uv) - 패키지 설치 프로그램 및 가상 환경 관리자\n* Claude, Cline, ChatWise 또는 기타 LLM 서비스\n* Stata 라이센스\n* LLM의 API 키\n\n### 설치\n\n지엑스피1\n\n## 📝 문서\n\n* 더 자세한 사용 정보를 보려면 [사용 가이드를](docs/Usages/Usage.md) 방문하세요.\n* 고급 사용법은 [고급을](docs/Usages/Advanced.md) 방문하세요\n* 몇 가지 질문이 있으시�� [질문을](docs/Usages/Questions.md) 방문하세요.\n* [Stata-MCP@hanlulong](https://github.com/hanlulong/stata-mcp) 과의 차이점, [차이점을](docs/Difference.md) 확인하세요\n\n## 💡 질문\n\n* [체리 스튜디오 32000이 잘못되었습니다](docs/Usages/Questions.md#cherry-studio-32000-wrong)\n* [Windows 지원](docs/Usages/Questions.md#windows-supports)\n\n## 🚀 로드맵\n\n* \\[x] macOS 지원\n* \\[x] Windows 지원\n* \\[ ] 추가 LLM 통합\n* \\[ ] 성능 최적화\n\n## ⚠️ 면책 조항\n\n이 프로젝트는 연구 목적으로만 사용됩니다. 이 프로젝트로 인해 발생하는 어떠한 손해에 대해서도 책임지지 않습니다. Stata 사용에 필요한 적절한 라이선스를 보유하고 있는지 확인해 주세요.\n\n자세한 내용은 [성명서](docs/Rights/Statement.md) 를 참조하세요.\n\n## 🐛 문제 보고\n\n버그가 발견되거나 기능 요청이 있는 경우 [문제를 열어](https://github.com/sepinetam/stata-mcp/issues/new) 주세요.\n\n## 📄 라이센스\n\n[MIT 라이선스](LICENSE) 및 확장\n\n## 📚 인용\n\n연구에 Stata-MCP를 사용하는 경우 다음 형식 중 하나를 사용하여 이 저장소를 인용하세요.\n\n### 비브텍스\n\n```bibtex\n@software{sepinetam2025stata,\n author = {Song Tan},\n title = {Stata-MCP: Let LLM help you achieve your regression analysis with Stata},\n year = {2025},\n url = {https://github.com/sepinetam/stata-mcp},\n version = {1.3.2}\n}\n```\n\n### 미국 의사회\n\n```\nSong Tan. (2025). Stata-MCP: Let LLM help you achieve your regression analysis with Stata (Version 1.3.2) [Computer software]. https://github.com/sepinetam/stata-mcp\n```\n\n### 시카고\n\n```\nSong Tan. 2025. \"Stata-MCP: Let LLM help you achieve your regression analysis with Stata.\" Version 1.3.2. https://github.com/sepinetam/stata-mcp.\n```\n\n## 📬 문의하기\n\n이메일: \n\n또는 [풀 리퀘스트를](https://github.com/sepinetam/stata-mcp/pulls) 제출하여 직접 기여해 보세요! 버그 수정부터 새로운 기능 추가까지 모든 종류의 기여를 환영합니다.\n\n## ❤️ 감사의 말\n\n저자는 Stata 공식 팀의 지원에 진심으로 감사드리며, 테스트 개발을 허가해 준 Stata 라이선스에 감사드립니다.\n\n## ✨ 스타 히스토리\n\n[![별 역사 차트](https://api.star-history.com/svg?repos=sepinetam/stata-mcp\\&type=Date)](https://www.star-history.com/#sepinetam/stata-mcp\\&Date)","Korean","ko-KR",{"_27":65,"_31":69,"_36":70},{"_29":66,"_31":67,"_33":68},"Сервер MCP, позволяющий большим языковым моделям взаимодействовать с программным обеспечением Stata для выполнения регрессионного анализа и других статистических операций.","Стата-MCP","[![ru](https://img.shields.io/badge/lang-English-red.svg)](README.md) [![сп](https://img.shields.io/badge/%E8%AF%AD%E8%A8%80-%E4%B8%AD%E6%96%87-yellow.svg)](docs/README/cn/README.md) [![фр](https://img.shields.io/badge/langue-Fran%C3%A7ais-blue.svg)](docs/README/fr/README.md) [![зр](https://img.shields.io/badge/Idioma-Espa%C3%B1ol-green.svg)](docs/README/sp/README.md)![Версия](https://img.shields.io/badge/version-1.3.2-blue.svg) [![значок кузнеца](https://smithery.ai/badge/@SepineTam/stata-mcp)](https://smithery.ai/server/@SepineTam/stata-mcp) [![Лицензия: Массачусетский технологический институт](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![Проблема](https://img.shields.io/badge/Issue-report-green.svg)](https://github.com/sepinetam/stata-mcp/issues/new)\n\n> Позвольте LLM помочь вам провести регрессионный анализ с помощью Stata.\n>\n> Скоро выйдет версия 2.xx~, которая будет более мощной и с большим количеством расширений.\n\n***\n\n> Ищете другие интеграции Stata или что-то еще?\n>\n> * [Здесь](https://github.com/hanlulong/stata-mcp) интегрирован VScode или Cursor. Запутались? 💡 [Разница](docs/Difference.md)\n> * Использование Jupyter Lab (Важно: Stata 17+) [здесь](https://github.com/sepinetam/Jupyter-Stata)\n> * [NBER-MCP](https://github.com/sepinetam/NBER-MCP) 🔧 в разработке\n> * [AER-MCP](https://github.com/sepinetam/AER-MCP)\n\n## 💡 Быстрый старт\n\nБолее подробную информацию об использовании можно найти в [Руководстве по использованию](docs/Usages/Usage.md) .\n\nА для более продвинутого использования посетите [Расширенное руководство](docs/Usages/Advanced.md)\n\n### Предпосылки\n\n* [uv](https://github.com/astral-sh/uv) - Установщик пакетов и менеджер виртуальной среды\n* Claude, Cline, ChatWise или другие службы LLM\n* Лицензия Stata\n* Ваш API-KEY от LLM\n\n### Установка\n\n```bash\n# Clone the repository\ngit clone https://github.com/sepinetam/stata-mcp.git\ncd stata-mcp\n\n# Using uv (recommended) to test usable\nuv run usable.py\n\n# Alternative setup with pip\n# python3.11 -m venv .venv\n# source .venv/bin/activate\n# pip install -r requirements.txt\n```\n\n## 📝 Документация\n\n* Более подробную информацию об использовании можно найти в [Руководстве по использованию](docs/Usages/Usage.md) .\n* Расширенное использование, посетите [Расширенное использование](docs/Usages/Advanced.md)\n* Некоторые вопросы, посетите раздел [Вопросы](docs/Usages/Questions.md)\n* Разница с [Stata-MCP@hanlulong](https://github.com/hanlulong/stata-mcp) , посетите [Difference](docs/Difference.md)\n\n## 💡 Вопросы\n\n* [Cherry Studio 32000 неправильно](docs/Usages/Questions.md#cherry-studio-32000-wrong)\n* [Поддержка Windows](docs/Usages/Questions.md#windows-supports)\n\n## 🚀 Дорожная карта\n\n* \\[x] Поддержка macOS\n* \\[x] Поддержка Windows\n* \\[ ] Дополнительные интеграции LLM\n* \\[ ] Оптимизация производительности\n\n## ⚠️ Отказ от ответственности\n\nЭтот проект предназначен только для исследовательских целей. Я не несу ответственности за любой ущерб, причиненный этим проектом. Пожалуйста, убедитесь, что у вас есть соответствующая лицензия на использование Stata.\n\nБолее подробную информацию можно найти в [Заявлении](docs/Rights/Statement.md) .\n\n## 🐛 Сообщить о проблемах\n\nЕсли вы обнаружите какие-либо ошибки или у вас есть пожелания по функциям, пожалуйста, [создайте проблему](https://github.com/sepinetam/stata-mcp/issues/new) .\n\n## 📄 Лицензия\n\n[Лицензия MIT](LICENSE) и ее расширения\n\n## 📚 Цитата\n\nЕсли вы используете Stata-MCP в своих исследованиях, пожалуйста, укажите ссылку на этот репозиторий, используя один из следующих форматов:\n\n### БибТекс\n\n```bibtex\n@software{sepinetam2025stata,\n author = {Song Tan},\n title = {Stata-MCP: Let LLM help you achieve your regression analysis with Stata},\n year = {2025},\n url = {https://github.com/sepinetam/stata-mcp},\n version = {1.3.2}\n}\n```\n\n### АПА\n\n```\nSong Tan. (2025). Stata-MCP: Let LLM help you achieve your regression analysis with Stata (Version 1.3.2) [Computer software]. https://github.com/sepinetam/stata-mcp\n```\n\n### Чикаго\n\n```\nSong Tan. 2025. \"Stata-MCP: Let LLM help you achieve your regression analysis with Stata.\" Version 1.3.2. https://github.com/sepinetam/stata-mcp.\n```\n\n## 📬 Связаться\n\nЭлектронная почта: \n\nИли внесите свой вклад напрямую, отправив [запрос на извлечение](https://github.com/sepinetam/stata-mcp/pulls) ! Мы приветствуем вклады любого рода: от исправления ошибок до новых функций.\n\n## ❤️ Благодарности\n\nАвтор искренне благодарит официальную команду Stata за поддержку и лицензию Stata за разрешение на разработку теста.\n\n## ✨ История звезд\n\n[![Звездная история диаграммы](https://api.star-history.com/svg?repos=sepinetam/stata-mcp\\&type=Date)](https://www.star-history.com/#sepinetam/stata-mcp\\&Date)","Russian","ru-RU",{"_27":72,"_31":75,"_36":76},{"_29":73,"_31":32,"_33":74},"MCP 服务器允许大型语言模型与 Stata 软件交互以执行回归分析和其他统计操作。","[![英文](https://img.shields.io/badge/lang-English-red.svg)](README.md) [![cn](https://img.shields.io/badge/%E8%AF%AD%E8%A8%80-%E4%B8%AD%E6%96%87-yellow.svg)](docs/README/cn/README.md) [![法语](https://img.shields.io/badge/langue-Fran%C3%A7ais-blue.svg)](docs/README/fr/README.md) [![斯普](https://img.shields.io/badge/Idioma-Espa%C3%B1ol-green.svg)](docs/README/sp/README.md)![版本](https://img.shields.io/badge/version-1.3.2-blue.svg) [![铁匠徽章](https://smithery.ai/badge/@SepineTam/stata-mcp)](https://smithery.ai/server/@SepineTam/stata-mcp) [![许可证：MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![问题](https://img.shields.io/badge/Issue-report-green.svg)](https://github.com/sepinetam/stata-mcp/issues/new)\n\n> 让 LLM 帮助您使用 Stata 实现回归分析。\n>\n> 2.xx 版本即将推出~功能将更加强大，扩展性更强。\n\n***\n\n> 正在寻找其他 Stata 集成或其他？\n>\n> * VScode 或 Cursor 集成[于此](https://github.com/hanlulong/stata-mcp)。搞不清楚？💡[区别](docs/Difference.md)\n> * Jupyter Lab 使用方法（重要：Stata 17+）[在这里](https://github.com/sepinetam/Jupyter-Stata)\n> * [NBER-MCP🔧](https://github.com/sepinetam/NBER-MCP)正在建设中\n> * [AER-MCP](https://github.com/sepinetam/AER-MCP)\n\n## 💡 快速入门\n\n有关更详细的使用信息，请访问[使用指南](docs/Usages/Usage.md)。\n\n一些高级用法，请访问[高级指南](docs/Usages/Advanced.md)\n\n### 先决条件\n\n* [uv](https://github.com/astral-sh/uv) - 软件包安装程序和虚拟环境管理器\n* Claude、Cline、ChatWise 或其他 LLM 服务\n* Stata 许可证\n* 您的 LLM API 密钥\n\n### 安装\n\n```bash\n# Clone the repository\ngit clone https://github.com/sepinetam/stata-mcp.git\ncd stata-mcp\n\n# Using uv (recommended) to test usable\nuv run usable.py\n\n# Alternative setup with pip\n# python3.11 -m venv .venv\n# source .venv/bin/activate\n# pip install -r requirements.txt\n```\n\n## 📝 文档\n\n* 有关更详细的使用信息，请访问[使用指南](docs/Usages/Usage.md)。\n* 高级用法，请访问[高级](docs/Usages/Advanced.md)\n* 一些问题，请访问[问题](docs/Usages/Questions.md)\n* 与[Stata-MCP 的区别@hanlulong](https://github.com/hanlulong/stata-mcp) ，访问[区别](docs/Difference.md)\n\n## 💡 问题\n\n* [Cherry Studio 32000 错误](docs/Usages/Questions.md#cherry-studio-32000-wrong)\n* [Windows 支持](docs/Usages/Questions.md#windows-supports)\n\n## 🚀 路线图\n\n* \\[x] macOS 支持\n* \\[x] Windows支持\n* \\[ ] 附加 LLM 集成\n* \\[ ] 性能优化\n\n## ⚠️ 免责声明\n\n本项目仅供研究之用。本人不对因本项目造成的任何损害负责。请确保您拥有使用 Stata 的适当许可。\n\n欲了解更多信息，请参阅[声明](docs/Rights/Statement.md)。\n\n## 🐛 报告问题\n\n如果您遇到任何错误或有功能请求，请[打开问题](https://github.com/sepinetam/stata-mcp/issues/new)。\n\n## 📄 许可证\n\n[MIT 许可证](LICENSE)和扩展\n\n## 📚 引用\n\n如果您在研究中使用 Stata-MCP，请使用以下格式之一引用此存储库：\n\n### BibTeX\n\n```bibtex\n@software{sepinetam2025stata,\n author = {Song Tan},\n title = {Stata-MCP: Let LLM help you achieve your regression analysis with Stata},\n year = {2025},\n url = {https://github.com/sepinetam/stata-mcp},\n version = {1.3.2}\n}\n```\n\n### 美国心理学会\n\n```\nSong Tan. (2025). Stata-MCP: Let LLM help you achieve your regression analysis with Stata (Version 1.3.2) [Computer software]. https://github.com/sepinetam/stata-mcp\n```\n\n### 芝加哥\n\n```\nSong Tan. 2025. \"Stata-MCP: Let LLM help you achieve your regression analysis with Stata.\" Version 1.3.2. https://github.com/sepinetam/stata-mcp.\n```\n\n## 📬 联系方式\n\n电子邮件: \n\n或者直接提交[Pull 请求](https://github.com/sepinetam/stata-mcp/pulls)来贡献代码！我们欢迎各种类型的贡献，从错误修复到新功能。\n\n## ❤️ 致谢\n\n作者真诚感谢Stata官方团队的支持以及授权测试开发的Stata License。\n\n## ✨ 明星历史\n\n[![星空历史图](https://api.star-history.com/svg?repos=sepinetam/stata-mcp\\&type=Date)](https://www.star-history.com/#sepinetam/stata-mcp\\&Date)","Chinese","zh-CN","githubUser","locale",{"_80":81,"_13":82,"_93":40,"_94":40,"_16":95,"_96":97,"_31":32,"_109":110,"_117":-5,"_118":119,"_161":162,"_167":-5,"_104":144,"_168":169,"_107":170,"_171":172},"addedAt","2025-04-03T00:01:34.918372Z",[83,84,85,86,87,88,89,90,91,92],"category:research-and-data","category:code-execution","category:data-platforms","environment:local","hosting:hybrid","language:python","security_grade:a","quality_grade:a","license_grade:a","author:claimed","descriptionMarkdown","descriptionPlainText",4885,"integrations",[98],{"_99":100,"_29":106,"_107":108},"brand",{"_101":102,"_31":103,"_104":105},"logoSvgPath","M0 14.727h.941v-2.453c0-.484.318-.835.771-.835.439 0 .71.276.71.722v2.566h.915V12.25c0-.48.31-.812.764-.812.46 0 .718.28.718.77v2.518h.94v-2.748c0-.801-.517-1.334-1.307-1.334-.578 0-1.054.31-1.247.805h-.023c-.147-.514-.552-.805-1.118-.805-.545 0-.968.306-1.142.771H.903v-.695H0v4.006zm7.82-.646c-.408 0-.68-.208-.68-.537 0-.318.26-.522.714-.552l.926-.057v.307c0 .483-.427.839-.96.839zm-.284.71c.514 0 1.017-.268 1.248-.703h.018v.639h.908v-2.76c0-.804-.647-1.33-1.64-1.33-1.021 0-1.66.537-1.701 1.285h.873c.06-.332.344-.548.79-.548.464 0 .748.242.748.662v.287l-1.058.06c-.976.061-1.524.488-1.524 1.199 0 .721.564 1.209 1.338 1.209zm6.305-2.642c-.065-.843-.719-1.512-1.777-1.512-1.164 0-1.92.805-1.92 2.087 0 1.3.756 2.082 1.928 2.082 1.005 0 1.697-.59 1.772-1.485h-.888c-.087.453-.397.725-.873.725-.597 0-.982-.483-.982-1.322 0-.824.381-1.323.975-1.323.502 0 .8.321.876.748h.889zm2.906-2.967c-1.591 0-2.589 1.085-2.589 2.82 0 1.735.998 2.816 2.59 2.816 1.586 0 2.584-1.081 2.584-2.816 0-1.735-.997-2.82-2.585-2.82zm0 .832c.971 0 1.591.77 1.591 1.988 0 1.213-.62 1.984-1.59 1.984-.976 0-1.592-.77-1.592-1.984 0-1.217.616-1.988 1.591-1.988zm2.982 3.178c.042 1.006.866 1.626 2.12 1.626 1.32 0 2.151-.65 2.151-1.686 0-.813-.469-1.27-1.576-1.523l-.627-.144c-.67-.158-.945-.37-.945-.733 0-.453.415-.756 1.032-.756.623 0 1.05.306 1.096.817h.93c-.023-.96-.817-1.61-2.019-1.61-1.187 0-2.03.653-2.03 1.62 0 .78.477 1.263 1.482 1.494l.707.166c.688.163.967.39.967.782 0 .454-.457.779-1.115.779-.665 0-1.167-.329-1.228-.832h-.945z","macOS","slug","macos","Supports running Stata statistical analysis on macOS systems, with Windows support planned for future releases.","uid","jedt4kflpg","namespace",{"_111":112,"_104":116},"owner",{"_113":114},"githubAccount",{"_115":116},"login","SepineTam","redditPostExternalId","repository",{"_120":121,"_128":129,"_133":134,"_154":-5,"_155":156,"_157":-5,"_158":159},"argumentsJsonSchema",{"_122":123,"_124":125,"_126":127},"properties",{},"required",[],"type","object","githubProject",{"_33":130,"_131":132},"

\n \n $\"logo\"$ \n \n

\n\n

Stata-MCP

\n\n

Let LLM help you achieve your regression analysis with Stata ✨

\n\n[![en](https://img.shields.io/badge/lang-English-red.svg)](README.md)\n[![cn](https://img.shields.io/badge/语言-中文-yellow.svg)](source/docs/README/cn/README.md)\n[![fr](https://img.shields.io/badge/langue-Français-blue.svg)](source/docs/README/fr/README.md)\n[![sp](https://img.shields.io/badge/Idioma-Español-green.svg)](source/docs/README/sp/README.md)\n[![PyPI version](https://img.shields.io/pypi/v/stata-mcp.svg)](https://pypi.org/project/stata-mcp/)\n[![PyPI Downloads](https://static.pepy.tech/badge/stata-mcp)](https://pepy.tech/projects/stata-mcp)\n[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE)\n[![Issue](https://img.shields.io/badge/Issue-report-green.svg)](https://github.com/sepinetam/stata-mcp/issues/new)\n[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/SepineTam/stata-mcp)\n\n---\n\n> Looking for others?\n>\n> - [Trace DID](https://github.com/asjadnaqvi/DiD): If you want to fetch the newest information about DID (Difference-in-Difference), click [here](https://asjadnaqvi.github.io/DiD/). Now there is a Chinese translation by [Sepine Tam](https://github.com/sepine) and [StataMCP-Team](https://github.com/statamcp-team) 🎉\n> - Jupyter Lab Usage (Important: Stata 17+) [here](source/docs/JupyterStata.md)\n> - [NBER-MCP](https://github.com/sepinetam/NBER-MCP) & [AER-MCP](https://github.com/sepinetam/AER-MCP) 🔧 under construction\n> - [Econometrics-Agent](https://github.com/FromCSUZhou/Econometrics-Agent)\n> - [TexIV](https://github.com/sepinetam/TexIV): A machine learning-driven framework that transforms text data into usable variables for empirical research using advanced NLP and ML techniques\n> - A VScode or Cursor integrated [here](https://github.com/hanlulong/stata-mcp). Confused it? 💡 [Difference](source/docs/Difference.md)\n\n## 💡 Quick Start\n> Standard config requires: please make sure the stata is installed at the default path, and the stata cli (for macOS and Linux) exists.\n\nThe standard config json as follows, you can DIY your config via add envs.\n```json\n{\n \"mcpServers\": {\n \"stata-mcp\": {\n \"command\": \"uvx\",\n \"args\": [\n \"stata-mcp\"\n ]\n }\n }\n}\n```\n\nFor more detailed usage information, visit the [Usage guide](source/docs/Usages/Usage.md). \n\nAnd some advanced usage, visit the [Advanced guide](source/docs/Usages/Advanced.md)\n\n### Prerequisites\n- [uv](https://github.com/astral-sh/uv) - Package installer and virtual environment manager\n- Claude, Cline, ChatWise, or other LLM service\n- Stata License\n- Your API-KEY from LLM\n\n### Installation\nFor 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.\n```bash\nuvx stata-mcp --usable\nuvx stata-mcp --version\n```\n\nIf you want to use it locally, you can install it via pip or download the source code.\n\n**Download via pip**\n```bash\npip install stata-mcp\n```\n\n**Download source code and compile**\n```bash\ngit clone https://github.com/sepinetam/stata-mcp.git\ncd stata-mcp\n\nuv build\n```\nThen you can find the compiled `stata-mcp` binary in the `dist` directory. You can use it directly or add it to your PATH.\n\nFor example:\n```bash\nuvx /path/to/your/whl/stata_mcp-1.6.3-py3-non-any.whl # here is the wheel file name, you can change it to your version\n```\n\n## 📝 Documentation\n- For more detailed usage information, visit the [Usage guide](source/docs/Usages/Usage.md).\n- Advanced Usage, visit the [Advanced](source/docs/Usages/Advanced.md)\n- Some questions, visit the [Questions](source/docs/Usages/Questions.md)\n- Difference with [Stata-MCP@hanlulong](https://github.com/hanlulong/stata-mcp), visit the [Difference](source/docs/Difference.md)\n\n## 💡 Questions\n- [Cherry Studio 32000 wrong](source/docs/Usages/Questions.md#cherry-studio-32000-wrong)\n- [Cherry Studio 32000 error](source/docs/Usages/Questions.md#cherry-studio-32000-error)\n- [Windows Support](source/docs/Usages/Questions.md#windows-supports)\n- [Network Errors When Running Stata-MCP](source/docs/Usages/Questions.md#network-errors-when-running-stata-mcp)\n\n## 🚀 Roadmap\n- [x] macOS support\n- [x] Windows support\n- [ ] Additional LLM integrations\n- [ ] Performance optimizations\n\n## ⚠️ Disclaimer\nThis 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.\n\nFor more information, refer to the [Statement](source/docs/Rights/Statement.md).\n\n## 🐛 Report Issues\nIf you encounter any bugs or have feature requests, please [open an issue](https://github.com/sepinetam/stata-mcp/issues/new).\n\n## 📄 License\n[Apache License 2.0](LICENSE)\n\n## 📚 Citation\nIf you use Stata-MCP in your research, please cite this repository using one of the following formats:\n\n### BibTeX\n```bibtex\n@software{sepinetam2025stata,\n author = {Song Tan},\n title = {Stata-MCP: Let LLM help you achieve your regression analysis with Stata},\n year = {2025},\n url = {https://github.com/sepinetam/stata-mcp},\n version = {1.6.3}\n}\n```\n\n### APA\n```\nSong 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\n```\n\n### Chicago\n```\nSong Tan. 2025. \"Stata-MCP: Let LLM help you achieve your regression analysis with Stata.\" Version 1.6.0. https://github.com/sepinetam/stata-mcp.\n```\n\n## 📬 Contact\nEmail: [sepinetam@gmail.com](mailto:sepinetam@gmail.com)\n\nOr contribute directly by submitting a [Pull Request](https://github.com/sepinetam/stata-mcp/pulls)! We welcome contributions of all kinds, from bug fixes to new features.\n\n## ❤️ Acknowledgements\nThe author sincerely thanks the Stata official team for their support and the Stata License for authorizing the test development.\n\n## ✨ Star History\n\n[![Star History Chart](https://api.star-history.com/svg?repos=sepinetam/stata-mcp&type=Date)](https://www.star-history.com/#sepinetam/stata-mcp&Date)\n\n","url","https://github.com/sepinetam/stata-mcp","githubRepository",{"_135":136,"_137":138,"_139":140,"_16":141,"_142":143,"_31":144,"_111":145,"_147":148,"_149":150,"_152":153},"defaultBranch","master","fullName","SepineTam/stata-mcp","githubTreeId",341276,8566,"language","Python","stata-mcp",{"_115":116,"_107":146},"De4eJSIJa1","recentStargazers",3,"spdxLicense",{"_31":151},"Apache 2.0","stargazers",46,"glamaJson","inspectable",true,"npmPackage","supportedPlatforms",[160],"MACOS","scores",{"_163":164,"_165":164,"_166":164},"license",100,"quality","security","simpleIcon","toolCount",5,"wwch657j12","updatedAt","2025-09-26T11:30:40.555878Z","meta",[175,178,180,187,190,192,195,198,201,204,207,209,212,215,217,219,221,223,225],{"_176":177},"title","Stata-MCP | Glama",{"_179":40,"_31":29},"content",{"_181":182,"_183":184,"_185":186},"href","https://glama.ai/mcp/servers/@SepineTam/stata-mcp","rel","canonical","tagName","link",{"_179":32,"_188":189},"property","og:title",{"_179":40,"_188":191},"og:description",{"_179":193,"_188":194},"https://glama.ai/logo.png","og:logo",{"_179":196,"_188":197},"https://glama.ai/mcp/servers/@SepineTam/stata-mcp/og-image","og:image",{"_179":199,"_188":200},"630","og:image:height",{"_179":202,"_188":203},"1200","og:image:width",{"_179":205,"_188":206},"website","og:type",{"_179":182,"_188":208},"og:url",{"_179":210,"_188":211},"Glama – MCP Hosting Platform","og:site_name",{"_179":213,"_31":214},"summary_large_image","twitter:card",{"_179":210,"_31":216},"twitter:title",{"_179":40,"_31":218},"twitter:description",{"_179":196,"_31":220},"twitter:image",{"_179":199,"_31":222},"twitter:image:height",{"_179":202,"_31":224},"twitter:image:width",{"_226":227},"script:ld+json",{"_228":229,"_230":231},"@context","http://schema.org","@graph",[232],{"_228":233,"_234":235,"_236":237},"https://schema.org","@type","BreadcrumbList","itemListElement",[238,245,249,252],{"_234":239,"_240":241,"_31":242,"_243":244},"ListItem","item","/","Glama","position",1,{"_234":239,"_240":246,"_31":247,"_243":248},"/mcp","MCP",2,{"_234":239,"_240":250,"_31":251,"_243":148},"/mcp/servers","Servers",{"_234":239,"_240":253,"_31":32,"_243":254},"/mcp/servers/@SepineTam/stata-mcp",4,"visitorIsMaintainer",false,"routes/_public/mcp/servers/~namespace/~slug/_pages/_explorer/blob/~commit/~/_route",{"_259":260,"_27":266,"_284":285,"_173":298,"_296":322,"_323":324},"blob",{"_179":261,"_262":263,"_264":265},"#!/usr/bin/python3\n# -*- coding: utf-8 -*-\n#\n# Copyright (C) 2025 - Present Sepine Tam, Inc. 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Stata-MCP

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Stata-MCP

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MCP directory API