Kabir's Tech Dives
I'm always fascinated by new technology, especially AI. One of my biggest regrets is not taking AI electives during my undergraduate years. Now, with consumer-grade AI everywhere, I’m constantly discovering compelling use cases far beyond typical ChatGPT sessions.
As a tech founder for over 22 years, focused on niche markets, and the author of several books on web programming, Linux security, and performance, I’ve experienced the good, bad, and ugly of technology from Silicon Valley to Asia.
In this podcast, I share what excites me about the future of tech, from everyday automation to product and service development, helping to make life more efficient and productive.
Please give it a listen!
Kabir's Tech Dives
🔗 Model Context Protocol: Connecting AI to Data Sources
Anthropic has introduced the Model Context Protocol (MCP), an open standard designed to seamlessly connect AI assistants with diverse data sources. This protocol aims to overcome the limitations of isolated AI models by providing a universal method for accessing data across repositories, tools, and environments. The MCP enables secure, two-way communication between data sources and AI, allowing developers to build MCP servers for their data or create AI applications (MCP clients) that connect to these servers. With support from companies like Block and development tool providers, the MCP offers pre-built servers for systems such as Google Drive and GitHub. The goal is to foster a more connected and sustainable AI ecosystem where AI systems maintain context across different tools and datasets, ultimately enhancing the quality and relevance of AI-generated responses. Developers can begin using MCP immediately via the Claude Desktop app.
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