Real-world standards for AI context management including Model Context Protocol (MCP), tool-use specifications, and interoperability frameworks.
A comprehensive guide to Anthropic's Model Context Protocol — the open standard for connecting AI assistants to external data sources and tools.
An objective comparison of major approaches for connecting AI models to external tools — Anthropic MCP, OpenAI Function Calling, and LangChain tools.
A hands-on tutorial for building and deploying your first Model Context Protocol server with practical examples.
Practical techniques for optimizing context window usage, from basic truncation to RAG architectures and intelligent context selection.
Security patterns for safely executing AI-invoked tools, including sandboxing, input validation, and audit logging.
