A2A + MCP + LangChain = Powerful Agent Communication
AI Summary
In this tutorial, the presenter teaches how to create a multi-agent chatbot using Agent-to-Agent (A2A) and Model Context Protocol (MCP) with Langchain to build a powerful chatbot for business or personal use. The video covers key AI protocols: A2A for agent collaboration and MCP for tool access, emphasizing the shift from deterministic programming to autonomous systems.
The presenter demonstrates a live chatbot capable of analyzing stock data by using a meta agent that intelligently selects appropriate tools to provide real-time stock prices and news for companies like Apple and Nvidia. Key technical challenges and solutions in development, such as network issues and data serialization, are discussed.
The video details the installation of necessary libraries, setting up an AI server for stock analysis, and establishing a seamless system that integrates user queries with financial data retrieval and analysis tools. Finally, the tutorial stresses the importance of A2A and MCP protocols in the evolution of AI architecture and their potential to revolutionize software development, allowing for more intelligent, adaptive applications that collaborate autonomously.