<blockquote> <p><em><strong>Originally published on <a href="https://andrew.ooo/posts/agentmemory-persistent-memory-ai-coding-agents-review/" rel="noopener
<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>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>I run Prolifik, a short-form video tool. This post is about its MCP server, which lets you ask Claude to cut a 90-minute podcast into vertical clips without leaving the
<p>Nearly every guide to setting up an MCP server tells you to do this:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight json"><code><span
<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
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