Anthropic
1 hour
This course teaches you how to build modular AI applications that connect the Claude language model to external tools and data sources using the Model Context Protocol (MCP). You'll learn to create both MCP servers that expose functionality and MCP clients that consume it, allowing you to integrate Claude with a wide range of services without writing extensive integration code.
This course requires basic Python programming experience and an understanding of async/await patterns. Familiarity with API concepts is also helpful.
The course is divided into two main sections. First, you'll learn the fundamentals of MCP architecture and how to build MCP servers that expose tools, resources, and prompts using the Python SDK. Then, you'll dive into implementing MCP clients to connect your applications to these MCP servers, including handling resource cleanup, async communication, and creating resources for data access and pre-defined workflows.
Anthropic is a leading AI research company that has developed the Claude language model. This course is part of the Anthropic Academy, which provides high-quality educational content to help developers and engineers learn how to effectively integrate and utilize Anthropic's AI technologies.
After completing this course, you'll be able to build modular AI applications that seamlessly integrate Claude with a wide range of external tools and data sources, without the need to write extensive integration code. This will allow you to create more powerful and flexible AI-powered applications that can leverage the capabilities of Claude in combination with other services and data.
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