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.
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📢 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. 😊
