Anthropic

Explore how the Model Context Protocol (MCP) client serves as the communication bridge between your application and MCP servers, enabling standardized AI-powered tool integration with transport-agnostic communication.

Take your prompt caching implementation to the next level with advanced strategies, edge case handling, and production-ready patterns for high-volume applications.

When building MCP servers, you need a way to test your functionality without connecting to a full application. The Python MCP SDK includes a built-in browser-based inspector that lets you debug and test your server in real-time.

Transform Claude Code from a coding assistant into a fully integrated development powerhouse. Learn how to connect MCP servers to extend Claude's capabilities, integrate with your entire toolchain, and build custom workflows that eliminate context switching.

Resources in MCP servers allow you to expose data to clients, similar to GET request handlers in a typical HTTP server. They're perfect for scenarios where you need to fetch information rather than perform actions.

Learn when to let Claude figure out the steps instead of defining them yourself. Discover how to build powerful agents with simple, combinable tools that handle unpredictable tasks. Includes tool design principles and real-world examples.

Not every task can be solved in a single Claude request. Learn when to use workflows vs agents, explore the powerful evaluator-optimizer pattern, and discover proven workflow patterns that will make you a better AI engineer.

Learn how to build a production-ready hybrid search system that combines the semantic understanding of vector embeddings with the precision of BM25 lexical search using Reciprocal Rank Fusion (RRF). Includes architecture patterns, mathematical explanations, and real-world examples.

Learn how to process PDF documents with Claude for intelligent analysis beyond simple text extraction. Covers implementation, what Claude can extract from PDFs, common use cases like contract analysis and data extraction, and production best practices.

Learn how MCP clients and servers work together by building a command-line chatbot. This hands-on tutorial demonstrates both sides of the MCP architecture through a practical document management system.