MCP (Model Context Protocol) is an open standard developed by Anthropic to enhance AI assistants by allowing direct connections to tools and data sources, enabling real-time reasoning over live production context rather than relying on static documentation. This advancement is exemplified by the Coralogix MCP Server, which allows AI systems like Claude and ChatGPT to securely query observability data such as logs, traces, and metrics in real-time, enhancing accuracy and context in responses. By integrating MCP into development workflows, developers can streamline processes like debugging and incident response by consolidating multiple tools into a single conversational interface within their IDE, reducing context switching and improving efficiency. The Coralogix MCP Server facilitates this by providing native support for various data types and enabling natural language querying, marking a shift towards more conversational and context-aware development practices.