What prerequisites are needed to use this container?
You need VS Code with the Dev Containers extension installed. The container builds and installs all dependencies automatically.
Google ADK Development Environment MCP Server
@linus-mcmanamey
基本情報
Google ADK Development Environment MCP Server について
MCP (Model Context Protocol) development environment with Google ADK Python framework integration and custom network discovery server
Google ADK Development Environment MCP Server の設定
Google ADK Development Environment MCP Server のツール
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Google ADK Development Environment?
A development container optimized for building Google Agent Development Kit (ADK) applications using Python 3.13. It bundles VS Code extensions, Google Cloud SDK, and a pre-configured set of Python libraries for cloud, ML, web, and data development.
How to use Google ADK Development Environment?
Open the project folder in VS Code, click “Reopen in Container” when prompted, and wait for the container to build. After setup, run adk-setup to authenticate with Google Cloud, then start developing. Custom aliases like adk-test, adk-format, and adk-lint are available for common tasks.
Key features of Google ADK Development Environment
- Python 3.13 with VS Code extensions (Python, Jupyter, Google Cloud Code)
- Pre-installed Google Cloud SDK and Python client libraries
- Custom aliases for authentication, testing, formatting, and linting
- Automatic code formatting on save with black and ruff
- Port forwarding for common development ports (3000, 5000, 8000, 8080, 9000)
- Jupyter notebook support for interactive development
Use cases of Google ADK Development Environment
- Building and testing Google Agent Development Kit applications
- Developing Python services that use Google Cloud (Storage, BigQuery, AI Platform)
- Machine learning projects with TensorFlow, PyTorch, Transformers, and LangChain
- Web API development with FastAPI or Flask with async support
- Data analysis and visualization using pandas, numpy, matplotlib, and plotly
よくある質問
How do I authenticate with Google Cloud inside the container?
Copy `.env.example` to `.env`, run `adk-setup` to authenticate, then set your project ID with `gcloud config set project YOUR_PROJECT_ID`.
What Python packages come pre-installed?
Google Cloud libraries (Storage, BigQuery, AI Platform, Speech, Vision), ML libraries (TensorFlow, PyTorch, Transformers, LangChain), web frameworks (FastAPI, Flask), dev tools (pytest, ruff, black, mypy), and data processing (pandas, numpy, matplotlib, plotly).
How do I run tests or check code quality?
Place tests in a `tests/` directory and run `adk-test`. For linting use `adk-lint`, for formatting use `adk-format`, and for a full check (ruff + mypy + pytest) use `adk-check`.
Where is the project structure defined?
The `.devcontainer/` folder contains the devcontainer.json, Dockerfile, and bashrc configuration. A root-level `requirements.txt` lists Python dependencies and `.env.example` provides environment variable templates.
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