FastMCP

Live Demonstration of FastMCP on AWS The February meetup of the Richmond AWS User Group featured a hands-on demonstration of FastMCP on AWS, exploring how modern agent frameworks can be deployed and operated in real cloud environments. Rather than focusing on theoretical concepts, the session provided attendees with practical insights into what it actually takes to run AI agent frameworks in production. Behind the Scenes: Unscripted AI Engineering What made this demonstration particularly authentic was that I hadn’t tested the solution beforehand. Armed with an impressively detailed prompt I’d crafted (available on GitHub), I wanted to make this a genuinely live experience—including all the potential hiccups and surprises that come with real AI development. ...

What is the Model Context Protocol? The Model Context Protocol (MCP) is an open standard for connecting AI agents to external systems. Think of it as a universal adapter that lets any AI agent talk to any tool or data source without custom integration code. Anthropic announced MCP in November 2024 and donated it to the Linux Foundation’s Agentic AI Foundation a month later. The adoption has been swift: OpenAI integrated it into ChatGPT, Google DeepMind uses it for Gemini agents, AWS built AgentCore around it, and development tools like Zed, Sourcegraph, Replit, and Codeium all support it. In just a few months, the community has built thousands of MCP servers. The protocol has become the de-facto standard for agent-to-tool communication. ...