Build a custom frontend to level up your AI Agents with the Google Agent Development Kit (ADK) + MCP + Streamlit.
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In this full guide, you'll learn how to:
✅ Build a custom frontend using Streamlit
✅ Return audio file paths directly from your agents
✅ Use the ADK API Server to expose agent endpoints
✅ Embed audio players into the UI for direct interaction
✅ Explore full-stack agent workflows from backend to voice!
Whether you’re creating a news anchor agent, a voice assistant, or a creative automation tool — this tutorial gives you the blueprint for powerful, multi-modal AI agent interfaces.
🔗 GitHub:
https://www.github.com/chongdashu/adk-made-simple
📡 Related MCP Servers:
https://github.com/elevenlabs/elevenlabs-mcp (Official)
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📕 Chapters
00:00 Intro
00:32 Demo: What we are building
01:28 AI Insiders Club
02:01 Project setup
02:11 Add dependencies
02:40 Update agent.py
04:04 Test changes with adk web
04:58 adk api_server
05:29 Swagger UI
06:56 Agent endpoints
07:17 test_extract_audio.sh
09:32 Running the test script
11:05 Streamlit speaker_app.py
17:53 Final result
18:47 Outro
Vibe Code Games in 12 minutes:
https://youtube.com/playlist?list=PLWUH7ke1DYK8pBJN331-jaQ_ynq-qBXMs&si=22uE3v77BUfwdtte
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Tags:
#mcp #CursorMCP #Automation #CursorAI #modelcontextprotocol #ClaudeDesktop #claude #windsurf #windsurfai #vibecoding #agentdevelopmentkit #gemini #agenticAI #GoogleADK #MCPserver #AIagentTutorial #multiagentsystem