How to Build an AI Agent from Your Existing REST API — Without an MCP Server

<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> 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

<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,

<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>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

<h2> Your AI agent is probably missing two-thirds of what it needs </h2> <p>Most agents ship with one capability: text generation. Some get tool access — usually a single API or a

<p><em>This blog was originally published on <a href="https://www.descope.com/blog/post/auth-remote-mcp" rel="noopener noreferrer">Descope</a>.</em></p> <p><a

<p>MCP is one of the most thoughtfully scoped technical standards to come out of the AI ecosystem. That scope is intentional. Understanding exactly where MCP stops is the