Anthropic

Speed up AI responses by up to 85% and cut costs dramatically — all by letting Claude remember what it just processed. A comprehensive guide to implementing prompt caching with TypeScript and Python.

A comprehensive quick-reference guide for implementing prompt caching in Claude. Includes code snippets, common patterns, debugging tips, and a production checklist.

Resources in MCP allow your server to expose data that can be directly included in prompts, rather than requiring tool calls to access information. This creates a more efficient way to provide context to AI models like Claude.

Learn how to build an MCP client that bridges your application logic with server capabilities. This tutorial covers the two-layer client architecture, implementing core methods, and testing the complete flow.

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.

Stop using one-size-fits-all prompts. Learn how routing workflows categorize user requests and send them to specialized pipelines for better, more consistent results. Includes real-world examples and implementation best practices.

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.

The Anthropic API offers two powerful features that work exceptionally well together: the Files API and Code Execution. Learn how combining them opens up interesting possibilities for delegating complex tasks to Claude.

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.

Model Context Protocol (MCP) is a communication layer that provides Claude with context and tools without requiring you to write tedious integration code. Learn how MCP shifts the burden of tool definitions and execution to specialized servers, saving developers thousands of lines of code.