<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model-Context-Protocol on CuraDevOps</title><link>https://curadevops.metacog.co.kr/tags/model-context-protocol/</link><description>Recent content in Model-Context-Protocol on CuraDevOps</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 30 Oct 2026 16:53:40 +0000</lastBuildDate><atom:link href="https://curadevops.metacog.co.kr/tags/model-context-protocol/index.xml" rel="self" type="application/rss+xml"/><item><title>Azure MCP Server 3.0 GA Adds Terraform and IaC Capabilities</title><link>https://curadevops.metacog.co.kr/insights/2026-10-30-launched-generally-available-azure-mcp-server-3-0/</link><pubDate>Fri, 30 Oct 2026 16:53:40 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-10-30-launched-generally-available-azure-mcp-server-3-0/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Plan:&lt;/strong> Azure MCP Server 3.0 is now GA with expanded Terraform/IaC integration, making AI-agent-driven Azure resource management more viable; evaluate whether it fits your infrastructure automation workflow this quarter — no forced migration or deadline involved.&lt;/li>
&lt;li>&lt;strong>CI/CD — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Azure MCP Server 3.0 GA signals growing maturity of AI-agent-to-cloud-API tooling; worth tracking as context for AI-assisted platform engineering strategy, but no immediate toolchain or cost decision is triggered.&lt;/li>
&lt;li>&lt;strong>Signals:&lt;/strong> GA announcement · major release (3.0)&lt;/li>
&lt;/ul></description></item></channel></rss>