<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>In January and February 2026, security researchers filed <a href="https://www.heyuan110.com/posts/ai/2026-03-10-mcp-security-2026/" rel="noopener noreferrer">30 CVEs against
<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
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxfdt9/qwen38_27b_1_x_r9700_262k_context_half_a_million/"> <img alt="Qwen3.8 27B | 1 x R9700: 262K context,
<p>One of our agents ran a test suite. The suite takes four minutes. The MCP client's idle timeout is sixty seconds.</p> <p>You can see where this is going. At second sixty the
<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs
<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
<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
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