Jupyter MCP Server

# Copyright (c) 2023-2024 Datalayer, Inc. # # BSD 3-Clause License # Copyright (c) Datalayer, Inc. https://datalayer.io # Distributed under the terms of the MIT License. SHELL=/bin/bash .DEFAULT_GOAL := default CONDA_ACTIVATE=source $$(conda info --base)/etc/profile.d/conda.sh ; conda activate CONDA_DEACTIVATE=source $$(conda info --base)/etc/profile.d/conda.sh ; conda deactivate CONDA_REMOVE=source $$(conda info --base)/etc/profile.d/conda.sh ; conda remove -y --all -n ENV_NAME=datalayer .SILENT: init install .PHONY: build publish help: ## display this help @awk 'BEGIN {FS = ":.*##"; printf "\nUsage:\n make \033[36m<target>\033[0m\n"} /^[a-zA-Z_-]+:.*?##/ { printf " \033[36m%-15s\033[0m %s\n", $$1, $$2 } /^##@/ { printf "\n\033[1m%s\033[0m\n", substr($$0, 5) } ' $(MAKEFILE_LIST) default: help ## default target is help env-rm: -conda remove -y --all -n ${ENV_NAME} env: -conda env create -f environment.yml @echo @echo -------------------------------------------------- @echo ✨ Datalayer environment is created. @echo -------------------------------------------------- @echo clean: ## clear ($(CONDA_ACTIVATE) ${ENV_NAME}; \ npm clear ) install: ## install ($(CONDA_ACTIVATE) ${ENV_NAME}; \ npm install ) start: ## start ($(CONDA_ACTIVATE) ${ENV_NAME}; \ npm start ) build: ## build ($(CONDA_ACTIVATE) ${ENV_NAME}; \ npm run build ) publish: build ## publish ($(CONDA_ACTIVATE) ${ENV_NAME}; \ aws s3 rm \ s3://datalayer-jupyter-mcp-server/ \ --recursive \ --profile datalayer && \ aws s3 cp \ ./build \ s3://datalayer-jupyter-mcp-server/ \ --recursive \ --profile datalayer && \ aws cloudfront create-invalidation \ --distribution-id EP7AV0D2EWHSX \ --paths "/*" \ --profile datalayer && \ echo open ✨ https://jupyter-mcp-server.datalayer.tech )