Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/how-python-devs-can-build-ai-agents-using-mcp-kafka-and-flink.
Learn how Python developers build real-time AI agents using MCP, Kafka, and Flink—modern agentic workflows explained on HackerNoon.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #python-mcp-ai-agents, #fastmcp-python-tools, #kafka-ai-agent-architecture, #flink-sql-agentic-workflows, #model-context-protocol, #event-driven-ai-microservices, #langgraph-mcp-orchestration, #good-company, and more.

This story was written by: @confluent. Learn more about this writer by checking @confluent's about page, and for more stories, please visit hackernoon.com.

Python developers can build production-ready AI agents using Model Context Protocol (MCP), Apache Kafka, and Apache Flink. By extending familiar FastAPI microservices with FastMCP tools and event-driven architectures, teams can orchestrate real-time, trustworthy AI workflows without redesigning their stack—turning streaming data into intelligent insights.