<p>The AI world has a plumbing problem. We have incredible language models, but connecting them to real tools — databases, APIs, file systems, other agents — still feels like
<p>REST APIs gave humans (and the code they wrote) a standardized way to access software over the network.</p> <p>MCP is trying to do the same thing for agents.</p> <p>That simple
<p>Salesforce just flipped a switch at TDX 2026 that matters more than most announcements in recent memory: your Salesforce org is now an MCP server. Every Developer Edition org
<h2> The Problem </h2> <p>The MCP ecosystem is expanding at an extraordinary pace. Anthropic, Microsoft, Google, AWS, and Cloudflare are all publishing official MCP servers.
<p>I added MCP (Model Context Protocol) to <a href="https://github.com/renascence-computing/reos-money" rel="noopener noreferrer"><strong>re:Money</strong></a> — my Quarkus +
<h1> MCP Ecosystem 2026: The USB-C Standard for AI Integration is Here </h1> <h2> Executive Summary </h2> <p>The Model Context Protocol (MCP), introduced by Anthropic in November
<p>If you’ve browsed agent engineering discussions recently, you’ve seen the same hype everywhere: MCP (Model Context Protocol) is the new standard for AI agents. Every new
<h1> The Complete Guide to Model Context Protocol (MCP): Building AI-Native Applications in 2026 </h1> <p><em>A technical deep-dive into Anthropic's open standard for connecting
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