Beyond Chat: MCP, AI SDKs & the Future of AI Workflows

Recently, I had the opportunity to speak at the AI & The Future of Work Masterclass (Kaduna Edition), where I gave a session focused on modern AI workflows, MCP servers, AI SDKs, and the growing shift from simple chatbots to AI systems that can interact with real tools and environments.

The talk explored how AI is evolving beyond text generation into something far more powerful: programmable systems capable of using tools, reading files, interacting with APIs, and automating workflows.

One of the major topics covered was the Model Context Protocol (MCP) and how it allows AI systems like Claude Desktop to connect to external tools through a standardized interface. I demonstrated how MCP servers work, how to connect them to AI clients, and how developers can build their own lightweight MCP servers to expose custom functionality to AI systems.

We also explored the growing open-source AI ecosystem, discussing tools and platforms that are making AI experimentation and development more accessible than ever.

Another important part of the session focused on modern AI SDKs, including the OpenAI SDK and Vercel AI SDK, and how they simplify the process of building AI-powered applications with features like streaming, tool calling, and multi-provider support.

Beyond the technical side, the session also touched on AI safety, responsible AI development, and concepts like prompt injection — highlighting why security, validation, and thoughtful system design are becoming increasingly important as AI gains access to more tools and workflows.

One of the key messages from the session was this:

AI is no longer just a chatbot.
It’s becoming a programmable layer for interacting with the digital world.

Huge thanks to the organizers and everyone who attended, engaged, and contributed to the conversations during the session.