Stata MCP Server

# Use Jupyter to serve your Stata ## Prepare - Stata 17+ - conda - VScode or Jupyter ## Config the infrastructure ### Python Environment We support that you have the environment of conda(anaconda or miniconda). Then run the follow code in your terminal (or PowerShell on Windows) ```bash conda create -n Jupyter-Stata python=3.11 conda activate Jupyter-Stata # If you are not sure whether you activate your env, you can run which python or python --version for insurance. # which python # python --version # install the requirements pip install jupyter stata_setup ``` ### VScode config Make a ".ipynb" file, then choose Jupyter Kernel. If you are macOS and use the commands before, you can use follow path directly. ```text /opt/anaconda3/envs/Jupyter-Stata/bin/python ``` ```Jupyter # macOS import os os.chdir('/Applications/Stata/utilities') from pystata import config config.init('mp') # if you are use 'stata-se' change it to 'se' # Windows import stata_setup stata_setup.config("C:/Program Files/Stata17", "mp") ``` Then you can see the follow window:  ### Jupyter Lab If you like Jupyter Lab rather than VScode, use the follow usage. 1. open your Jupyter Lab for example: ```bash conda activate Jupyter-Stata jupyter lab --notebook-dir="your/project/path" ``` Then you can see the window on your brower:  You can choose Notebook-Stata directly for use Stata Kernel, which is look like:  ## Magic Command(on Vscode, or jupyter lab with python kernel) The part is under the structure of [here](#vscode-config) ```jupyter %%stata ## multi line magic command sysuse auto, clear sum reg price mpg rep78 trunk weight length ``` ```jupyter %stata scatter mpg price ``` By the way, if you use the python kenrel, you can use not only stata, but also python(pandas). ## An example usage (with python kernel) - [example](./examples/jupyter.ipynb) ## Wraning! You' d better not use PyCharm to write a Jupyter file whose content is Stata, because it would identify it as python code rather than Stata.