Build Your Own Server & Client with LangChain MCP Adapters

Evren Ozkip · Intermediate ·🧠 Large Language Models ·1y ago

Skills: LLM Engineering90%

Key Takeaways

This video teaches how to build a server and client using LangChain MCP adapters and the Model Context Protocol (MCP) developed by Anthropic.

Original Description

In this video, I explain the MCP developed by Anthropic and show how to build your server and client with LangChain MCP adapters. ▶ Subscribe: https://bit.ly/subscribe-tirendazai ▶ Join my channel: https://bit.ly/join-tirendazai 00:36 | What is MCP? 01:57 | Setup 03:30 | Build Server 05:31 | Build Client 11:24 | Output RELATED VIDEOS: ▶ PandasAI Tutorials: https://bit.ly/pandasai ▶ Ollama Tutorials: https://bit.ly/ollama-tutorials ▶ LangChain Tutorials: https://bit.ly/langchain-tutorials ▶ Generative AI for DS: https://bit.ly/genai-for-data-science ▶ HuggingFace Tutorials: https://bit.ly/hugging-face-tutorials ▶ LLMs Tutorials: https://bit.ly/llm-tutorials FOLLOW ME: ▶ Medium: https://tirendazacademy.medium.com ▶ X: https://twitter.com/TirendazAcademy ▶ LinkedIn: https://www.linkedin.com/in/tirendaz-academy PROJECT FILEs: ▶ https://github.com/TirendazAcademy/MCP-Projects/tree/main/MCP-with-LangChain Don't forget to subscribe, like the video, and turn on notifications so you don't miss new videos. Hi guys, I'm a content creator on generative AI and data science, PhD. My goal is to create engaging content to make the latest AI technologies understandable for everyone. #ai #generativeai #datascience

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Chapters (5)

0:36 | What is MCP?

1:57 | Setup

3:30 | Build Server

5:31 | Build Client

11:24 | Output

5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems

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