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What is Google Agent Development Kit (ADK)? 🤖 Agent with Local, Remote MCP Tools using ADK, Gemini, Fast API, Streamlit 🔧
- Google Agent Development Kit (ADK) is an open-source framework for developing AI agents to run anywhere, including VSCode, terminals, Docker containers, Google CloudRun, and Google Kubernetes Engine.
- The ADK framework provides detailed documentation covering agents, tools, workflows, sessions, memory, runners, and multi-agent interactions.
- Using an agent framework like ADK offers benefits such as organized workflows, contextual memory maintenance, collaboration among multiple agents, seamless tool integration, model versatility, and built-in deployment capabilities.
- The ADK Agent Event Loop operates on a back-and-forth communication process between the Runner component and the defined 'Execution Logic', including Agents, LLM calls, Callbacks, and Tools.
- Model Context Protocol (MCP) is an open standard that standardizes communication between Large Language Models (LLMs) like Gemini and Claude with external applications, data sources, and tools.
- The Agent App with Local & Remote MCP using Google ADK, Gemini, FastAPI, and Streamlit involves projects like FileOps for Local MCP and Serper for Remote MCP.
- Installation of dependencies involves setting up Gemini Model access via API keys, alongside installing necessary packages like FastAPI, uvicorn, google-adk, pydantic, streamlit, and dotenv.
- The implementation includes a frontend using Streamlit for user interactions and a backend utilizing FastAPI for handling queries and responses in conjunction with the defined ADK Agents.
- Demonstrations for running both Local and Remote MCP setups are shown, involving running the frontend and backend components to interact with the Gemini Model through the ADK framework.
- In conclusion, this guide walks through accessing Google Gemini 2.5, implementing ADK agents with MCP tools using Gemini, FastAPI, and Streamlit UI, inviting feedback and engagement from readers.
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