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ADK MCP Agent

by AtulanZaman
GitHub
Python
MIT License
OverviewInspectNewSchemaRelated ServersReviewsScore
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Integrations

  • 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

  1. Install dependencies:
    pip install -r requirements.txt
  2. Set up .env in app/ with your API keys.
  3. 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:

  1. Install dependencies:
    pip install -r requirements.txt
  2. 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
  3. Run the FastAPI app:
    export SSL_CERT_FILE=$(python -m certifi) uvicorn app.main:app --reload
  4. 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

This server cannot be installed

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security - not tested
A
license - permissive license
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quality - not tested

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.

  1. Local Development
    1. Project Structure
      1. Deployment
        1. License

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