The Model Context Protocol (MCP) is a new standard introduced by Anthropic that simplifies artificial intelligence (AI) integrations by providing a secure, consistent way to connect AI agents with external tools and data sources. Confluent has built an MCP server that connects directly to Confluent, allowing agents to interact with real-time data using natural language, eliminating the need for manual configurations. The MCP server standardizes how agents retrieve and interact with external data, providing a universal standard that simplifies connections between AI models and external data sources. This reduces integration complexity, improves security and governance, and ensures that agents operate with accurate, up-to-date information. By providing real-time access to data across disparate systems, the MCP server enables AI agents to make decisions based on the latest available context, eliminating the need for custom, one-off integrations. The Confluent MCP server integrates with other tools and frameworks, such as Tableflow, to provide a unified way for agents to interact with both real-time and stored data.