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Anthropic Academy / Courses | Introduction to Model Context Protocol

Learn how to build modular AI applications using MCP to connect Claude with external tools and data sources.

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About this course

This course covers MCP, a protocol for connecting Claude to external services and data sources without manually writing tool schemas. You'll learn to build both MCP servers that expose tools, resources, and prompts, and MCP clients that consume them. The course includes a hands-on project where you implement a document management system using MCP.

Learning objectives

By the end of this course, you'll be able to:

  • Understand MCP architecture and the client-server communication model
  • Build MCP servers that expose tools using the Python SDK
  • Implement MCP clients to connect your applications to MCP servers
  • Create resources for exposing data and prompts for pre-defined workflows
  • Test and debug MCP servers using the MCP Inspector
  • Choose between tools, resources, and prompts based on control patterns
  • Handle resource cleanup and async communication in MCP implementations

Prerequisites

  • Basic Python programming experience
  • Understanding of async/await patterns
  • Familiarity with API concepts

Who this course is for

Engineers who want to integrate Claude with external tools and services without writing tons of boilerplate integration code

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