Introduction to Model Context Protocol by Anthropic

Learn how to build modular AI applications using Model Context Protocol (MCP) to connect Claude with external tools and data sources.
Course details
Building integrations between AI models and external services often requires writing extensive custom code. The Model Context Protocol (MCP) standardizes this process, allowing Claude to connect to tools, data sources, and APIs through a consistent interface. This course teaches you to build both MCP servers that expose tools, resources, and prompts, and MCP clients that consume them using the Python SDK.Get started by exploring MCP's three core primitives-tools, resources, and prompts-and how they integrate with Claude AI. Along the way, learn how to build servers and clients, exploring how MCP simplifies connections to external systems. The course concludes with a hands-on project in which you implement a document management system using MCP.Note: This course requires basic Python programming experience and a familiarity with APIs and async and await patterns.This course was created by Anthropic. We are pleased to host this training in our library.
Skills covered
AI Agents, Anthropic Claude, Artificial Intelligence (AI), Model Context Protocol (MCP)
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