<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
<p>The Model Context Protocol has crossed 97 million monthly SDK downloads and over 10,000 public server implementations. Every major AI platform — Claude, Cursor, Windsurf,
<h2> What is MCP and Why Java Developers Should Care </h2> <p>Every AI tutorial shows you how to build a chatbot. You give it a system prompt, connect it to an LLM, and it talks
<blockquote> <p><em><strong>Originally published on <a href="https://andrew.ooo/posts/agentmemory-persistent-memory-ai-coding-agents-review/" rel="noopener
<p><em>Disclosure: I build dochost, the service used in the examples. The setup steps are specific to it; the four rules in the second half apply to any "publish" tool you give an
<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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