Linkedin Learning – Build AI Agents With Model Context Protocol MCP By Pearson
English | Tutorial | Size: 366.43 MB
Explore ways you can construct AI agents using Model Context Protocol (MCP) by leveraging the similarities it has with HTTP. Learn about the creation of MCP and why it’s essential for overcoming traditional walled garden strategies. Explore the architecture of MCP servers and the range of components and capabilities they offer. Gain hands-on experience building MCP servers in Python, Java, and Node.js, as well as testing these servers with MCP Inspector, Postman, and Clawed Desktop. Discover ways MCP enables AI agents to interact naturally with databases to provide real-time information and insights. Plus, integrate MCP with SQL databases like PostgreSQL to solve common enterprise problems and showcase the potential of AI in optimizing workflows. Ideal for developers who are eager to enhance their AI development skills, this course equips you to build efficient AI agents with the robust MCP standard and transform how your services and datasets interact.
This course was created by Pearson. We are pleased to host this training in our library.
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