A
security-
licenseA
qualityA Model Context Protocol server that enables AI agents to interact with Google Workspace services including Drive, Docs, and Sheets through natural language commands.
Last updated -
8
MIT License
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
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=$(python -m certifi) uvicorn app.main:app --reload
Project Structure
adk-mcp-agent/
├── app/
│ ├── main.py
│ ├── static/
│ │ └── index.html
│ └── .env
├── agent/
│ └── agents.py
├── requirements.txt
├── Dockerfile
├── README.md
└── .gitignore
The agent logic is in the
agent/directory (agent/agents.py).The FastAPI app and UI are in the
app/directory.
Deployment
To test and run the app locally with the UI:
Install dependencies:
pip install -r requirements.txtSet up environment variables:
Create a
.envfile inside theapp/directory with your API keys:GOOGLE_GENAI_USE_VERTEXAI=FALSE GOOGLE_API_KEY=your_genai_api_key GOOGLE_MAPS_API_KEY=your_google_maps_api_key
Run the FastAPI app:
export SSL_CERT_FILE=$(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
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A streaming chat agent that integrates Google ADK with Model Context Protocol and Google Maps tools, enabling users to interact with location-based services through a conversational interface.
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