Google ADK Development Environment MCP Server

@linus-mcmanamey

Basic information

About Google ADK Development Environment MCP Server

MCP (Model Context Protocol) development environment with Google ADK Python framework integration and custom network discovery server

Google ADK Development Environment MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Google ADK Development Environment MCP Server tools

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Overview

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

Frequently asked questions

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.

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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