logo
Free, unlimited AI code reviews that run on commit
git-lrc git-lrc GitHub Install Now We'd appreciate a star git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt

adk_mcp_gmap

Enable interactive chat capabilities with Google Maps data through a streaming agent that integrates with the Google ADK and Maps toolset for location-based information.

Author

adk_mcp_gmap logo

AtulanZaman

MIT License

Quick Info

GitHub GitHub Stars 0
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

adk_mcp_gmapmapschatgoogle mapslocation datagoogle adk

ADK MCP Agent

A streaming chat agent using Google ADK and the Model Context Protocol (MCP) Google Maps toolset.

Local Development

  1. Install dependencies: bash pip install -r requirements.txt
  2. Set up .env in app/ with your API keys.

  3. Run locally: bash 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:

  1. Install dependencies: bash pip install -r requirements.txt

  2. Set up environment variables:

  3. Create a .env file inside the app/ directory with your API keys: env GOOGLE_GENAI_USE_VERTEXAI=FALSE GOOGLE_API_KEY=your_genai_api_key GOOGLE_MAPS_API_KEY=your_google_maps_api_key

  4. Run the FastAPI app: bash export SSL_CERT_FILE=$(python -m certifi) uvicorn app.main:app --reload

  5. Access the UI:

  6. Open your browser and go to http://localhost:8000
  7. You can now interact with the chat interface and test the agent locally.

License

MIT

See Also

`