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AI Agent Development Using LangGraph (feat. MCP)

LangGraph, packed with a major corporation's AI Agent lead's know-how. We deliver knowledge gained from real-world challenges.

(4.9) 150 reviews

1,823 learners

Level Basic

Course period Unlimited

  • jasonkang
ai활용
ai활용
에이전트
에이전트
prompt engineering
prompt engineering
LLM
LLM
AI Agent
AI Agent
LangGraph
LangGraph
Model Context Protocol
Model Context Protocol
ai활용
ai활용
에이전트
에이전트
prompt engineering
prompt engineering
LLM
LLM
AI Agent
AI Agent
LangGraph
LangGraph
Model Context Protocol
Model Context Protocol

📢 LangGraph + MCP Integration Plan Update Announcement

Hello, this is Kang Byeong-jin.

In early May, when updating the LangGraph + MCP integration method, I informed you that "the method presented in the official documentation is not good because it is difficult to use state, so it is better to proceed in the way I recommend."

However, as the langchain-mcp-adapters package version was updated, it was changed to a way to use the state more easily, as I recommended. It even became simpler when connecting the MCP when creating the class 🚀

Previously, I had to find and implement methods that were not introduced in the official documentation, but now I have updated the lecture so that I can link MCP to LangGraph in a similar way to registering MCP to Cursor or Claude Desktop. It is a hassle to change the code I have already written, but I personally think it is a good thing because it seems to be going in the right direction. Fortunately, the package maintainers seem to think so too.

For those who have not yet taken the MCP course: This change will not directly affect you, so you can continue studying as is.

For those who have already taken the MCP section: Be sure to check out the newly added Section 5 - How to integrate LangGraph + MCP as of May 2025 ! We are providing the latest method according to the changed method.

Thank you. 😊

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