MCP tool descriptions are part of your security model

<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>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>Model Context Protocol servers have quickly become the connective tissue between AI agents and the outside world — file systems, databases, APIs, internal tools, you name it.

<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.

<h2> The Hidden Tax on Every MCP Request </h2> <p>Here is something nobody talks about when they demo MCP integrations: token costs at scale.</p> <p>I have been running MCP setups

<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>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

<h2> The Setup </h2> <p>MCP (Model Context Protocol) lets AI agents call external tools. Instead of just reading files and running bash, the agent gets structured access to APIs,