Stata-MCP

# Catalog - [🇬🇧 English](#difference-with-stata-mcphanlulong) - [🇨🇳 中文](#与stata-mcphanlulong的不同) --- # Difference with Stata-MCP@hanlulong - 🔗 [hanlulong/stata-mcp](https://github.com/hanlulong/stata-mcp) - [Report or Request](https://github.com/SepineTam/stata-mcp/issues) ## stata-mcp@hanlulong ### Main Features - IDE integration: Provides Stata integration for Visual Studio Code and Cursor IDE using the Model Context Protocol (MCP) - Command execution: Allows you to run Stata commands directly from VS Code or Cursor (If you want to use it with Jupyter Lab, refer to the [documentation](https://github.com/hanlulong/stata-mcp/blob/main/jupyter-stata.md) or check [Issue](https://github.com/hanlulong/stata-mcp/issues/5)) - Syntax highlighting: Full support for Stata .do, .ado, .mata, and .doh files - Cross-platform: Works on Windows, macOS, and Linux - AI assistant integration: Get contextual help and code suggestions via MCP ### Installation The Stata-MCP@hanlulong can be installed directly from the VS Code Marketplace. The first-time installation may take up to 2 minutes as dependencies are installed. ### MCP Integration This implementation leverages the Model Context Protocol to enable AI assistants to interact with Stata, allowing: - Running code directly from the editor - Receiving contextual help - Getting code suggestions ## stata-mcp@sepinetam ### Main Features - Data Integration: Creates a bridge between Stata's statistical capabilities and AI assistants through the Model Context Protocol (MCP) - Contextual Analysis: Allows AI systems to understand Stata datasets, commands, and statistical output - Modular Design: Supports customizable components for different use cases and environments - Statistical Output Parsing: Converts Stata output into structured formats that AI models can interpret - Advanced Querying: Enables natural language interactions with Stata's statistical and data manipulation capabilities ### Installation Installation instructions are provided in the repository [README](../../README.md) or [Usage](Usages/Usage.md). Initial setup typically requires configuring your Stata path and preferred connection settings. ### MCP Integration This implementation uses the Model Context Protocol to create a semantic layer between Stata and AI systems: - Statistical context awareness for more relevant AI responses - Dataset structure understanding for better data analysis suggestions - Command history awareness to improve workflow recommendations ## Differences Shortly, Stata-MCP@sepinetam provides interaction with large language models to help implement dofiles, while Stata-MCP@hanlulong offers a more convenient Stata usage solution compared to using Jupyter Lab and Stata client (editing and running Stata commands in VScode). 1. Documentation and development activity: Currently, hanlulong's repository has more comprehensive documentation. This project will gradually improve its documentation, and configuration videos will be added in the future. 2. Implementation focus: Although both use MCP, they are implemented in different ways. # 与Stata-MCP@hanlulong的不同 - 🔗 [hanlulong/stata-mcp](https://github.com/hanlulong/stata-mcp) - [报告问题或者提出需求](https://github.com/SepineTam/stata-mcp/issues) ## stata-mcp@hanlulong ### 主要特征 - IDE集成：使用模型上下文协议(MCP)为Visual Studio Code和Cursor IDE提供Stata集成 - 命令执行：允许直接从VS Code或Cursor运行Stata命令 （如果你想通过Jupyter Lab使用，参考[文档](https://github.com/hanlulong/stata-mcp/blob/main/jupyter-stata.md)或查看[Issue](https://github.com/hanlulong/stata-mcp/issues/5)） - 语法高亮：完全支持Stata .do、.ado、.mata和.doh文件 - 跨平台：适用于Windows、macOS和Linux - AI助手集成：通过MCP获取上下文相关帮助和代码建议 ### 安装 该Stata-MCP@hanlulong可以直接从VS Code市场安装。首次安装可能需要长达2分钟的时间，因为需要安装依赖项。 ### MCP集成 此实现利用模型上下文协议使AI助手能够与Stata交互，允许： - 直接从编辑器运行代码 - 接收上下文相关帮助 - 获取代码建议 ## stata-mcp@sepinetam ### 主要特点 - 数据集成：通过模型上下文协议(MCP)在Stata的统计功能和AI助手之间建立桥梁 - 上下文分析：使AI系统能够理解Stata数据集、命令和统计输出 - 模块化设计：支持针对不同用例和环境的可定制组件 - 统计输出解析：将Stata输出转换为AI模型可以解释的结构化格式 - 高级查询：实现与Stata的统计和数据操作功能的自然语言交互 ### 安装 安装说明在仓库的[README](../../README.md)或[Usage](Usages/Usage.md)中提供。初始设置通常需要配置您的Stata路径和首选连接设置。 ### MCP集成 此实现使用模型上下文协议在Stata和AI系统之间创建语义层： - 统计上下文感知，提供更相关的AI响应 - 数据集结构理解，提供更好的数据分析建议 - 命令历史感知，改进工作流程建议 ## 区别 简短地说，Stata-MCP@sepinetam提供了与大语言模型交互，让其完成dofile的实现，而Stata-MCP@hanlulong提供了相比于使用Jupyter Lab和Stata客户端更方便的Stata使用方案（在VScode编辑并运行stata命令） 1. 文档和开发活动：目前hanlulong的仓库有更全面的文档，本项目将逐步完善文档，后续也会加入配置的视频。 2. 实现重点：虽然两者都使用MCP，但是是通过不同的形式来实现的。