A streaming chat agent using Google ADK and the Model Context Protocol (MCP) Google Maps toolset.
Local Development
- Install dependencies:
pip install -r requirements.txt
-
Set up .env in app/ with your API keys.
-
Run locally:
export SSL_CERT_FILE=$(python -m certifi)
uvicorn app.main:app --reload
Project Structure
adk-mcp-agent/
├── app/
│ ├── main.py
│ ├── static/
│ │ └── index.html
│ └── .env
├── agent/
│ └── agents.py
├── requirements.txt
├── Dockerfile
├── README.md
└── .gitignore
- The agent logic is in the
agent/ directory (agent/agents.py).
- The FastAPI app and UI are in the
app/ directory.
Deployment
To test and run the app locally with the UI:
-
Install dependencies:
pip install -r requirements.txt
-
Set up environment variables:
-
Create a .env file inside the app/ directory with your API keys:
GOOGLE_GENAI_USE_VERTEXAI=FALSE
GOOGLE_API_KEY=your_genai_api_key
GOOGLE_MAPS_API_KEY=your_google_maps_api_key
-
Run the FastAPI app:
export SSL_CERT_FILE=$(python -m certifi)
uvicorn app.main:app --reload
-
Access the UI:
- Open your browser and go to http://localhost:8000
- You can now interact with the chat interface and test the agent locally.
License
MIT