Powering AI Agents with Real-Time Data Using Anthropic’s MCP and Confluent

This post introduces a Confluent-built Model Context Protocol (MCP) server that integrates with Anthropic's MCP standard. This server allows AI agents to access real-time data from Confluent Cloud, manage Kafka topics, execute Flink SQL queries, and configure connectors using natural language. The implementation includes 20 built-in tools and a clear process for adding new tools, demonstrating interactions with Goose AI framework for tasks like listing topics, saving conversations, sampling data, and managing retention policies.