<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
<h1> MCP Best Practices: 7 Hard Lessons I Learned Building 5 MCP Servers (Full Checklists Included) </h1> <p>Let me be honest with you — I've built five different MCP (Model
<p>A directory result, a GitHub repository and an install command can all have similar names. They are not necessarily the same artefact. Before you add an MCP server to a client,
<h1> I Built a Pay-Per-Use MCP Server with 52+ Services </h1> <p>Every MCP server I found was either free (good luck scaling), subscription-based (hello, vendor lock-in), or
<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>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>If you're building an MCP server, sooner or later someone is going to ask: how does authentication work?</p> <p>The MCP spec leaves this open. Most early servers shipped with
<p>I work on proxy infrastructure, which means I read a lot of proxy errors. And I kept noticing the same thing: the coding agents I used were great at almost everything except
NewsHive monitors these sources continuously. All signal titles above link to the original reporting.
Intelligence by NewsHive. Need help navigating what this means for your business? Contact GeekyBee →