How I Deployed My Langgraph Agent With Auth in Minutes!

In this langgraph tutorial, I'm going to walk you through deploying AI agents built with Langgraph, to the cloud, with authentication for a production-ready application. We'll cover the backend setup, the **cloud deployment** process, and adding authentication with a clean proxy server. While we're going to focus on deploying a Langgraph agent, the design of this deployment can work for agents built with any framework in python! We will be deploying Rocket, a YouTube content researcher with access to multiple MCP servers and MCP tools. I've started using this AI Agent daily!

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My name is Kenny and I’ve been building AI agents and systems for the past 2 years. My aim is to always go beyond the docs and help you solve real-world problems with AI. So if you’re interested in leveraging AI for your personal productivity, the company you work for, or your own business, I want to help you through those last-mile problems. If you find value in this video, consider giving it a like and subscribing. It makes a huge difference for a small channel like mine!

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🎥 Referenced Videos

1. Intro to Langgraph: https://youtu.be/31JoTDm7jkM
2. MCP + Langgraph: https://youtu.be/F9mgEFor0cA
3. Langgraph Deployments part 1: https://youtu.be/SGt786ne_Mk

🛠️ Resources

1. REPO: https://github.com/kenneth-liao/deploy-langgraph-server-auth
2. UV Setup: https://docs.astral.sh/uv/guides/install-python/
3. MCP Official Docs: https://modelcontextprotocol.io/introduction
4. Render (Platform as a service): https://render.com/

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🕒 Sections
00:00 - Intro
00:57 - Deployed Agent Demo
010:40 - Deployment Architecture
13:04 - Project Setup
30:53 - Local Deployment & Testing with Docker
52:53 - Cloud Deployment

#langgraph #aiagent #mcp

Видео How I Deployed My Langgraph Agent With Auth in Minutes! канала Kenny Liao