Large Language Models (LLMs) like Anthropic’s Claude have unlocked massive context windows (up to 200k tokens in Claude 4) that let them consider entire documents or codebases in a single go. However, effectively providing relevant context to these models remains a challenge. Traditionally, developers have resorted to complex prompt engineering or retrieval pipelines to feed […]The post The Only Guide You Will Ever Need For Model Context Protocol (MCP) appeared first on Analytics Vidhya.