ADK MCP Agent
Integrates with Google's Generative AI (Gemini) through API keys for natural language processing capabilities
Provides access to Google Maps functionality through a dedicated toolset, allowing the agent to perform location-based queries and mapping operations
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ADK MCP Agentfind coffee shops near Central Park"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ADK MCP Agent
A streaming chat agent using Google ADK and the Model Context Protocol (MCP) Google Maps toolset.
Local Development
Install dependencies:
pip install -r requirements.txtSet up
.envinapp/with your API keys.Run locally:
export SSL_CERT_FILE=$(python -m certifi) uvicorn app.main:app --reload
Related MCP server: Google Maps MCP Server
Project Structure
adk-mcp-agent/
├── app/
│ ├── main.py
│ ├── static/
│ │ └── index.html
│ └── .env
├── agent/
│ └── agents.py
├── requirements.txt
├── Dockerfile
├── README.md
└── .gitignoreThe agent logic is in the
agent/directory (agent/agents.py).The FastAPI app and UI are in the
app/directory.
Deployment
To test and run the app locally with the UI:
Install dependencies:
pip install -r requirements.txtSet up environment variables:
Create a
.envfile inside theapp/directory with your API keys:GOOGLE_GENAI_USE_VERTEXAI=FALSE GOOGLE_API_KEY=your_genai_api_key GOOGLE_MAPS_API_KEY=your_google_maps_api_key
Run the FastAPI app:
export SSL_CERT_FILE=$(python -m certifi) uvicorn app.main:app --reloadAccess 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
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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