<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Model Context Protocol (MCP)</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Model Context Protocol (MCP) feed</description>
    <item>
      <title>DBmaestro MCP Server Puts Natural Language in Control of Database Pipelines</title>
      <link>https://www.infoq.com/news/2026/04/dbmaestro-mcp-server/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/dbmaestro-mcp-server/en/headerimage/generatedHeaderImage-1777159490832.jpg"/&gt;&lt;p&gt;DBmaestro has launched an MCP server that connects AI agents and enterprise copilots to its database DevOps platform, allowing teams to issue natural language commands that trigger real, governed platform workflows. The MCP server, announced on 7 April 2026, allows DBAs to expose DBmaestro's release automation, source control, CI/CD orchestration, and compliance capabilities through MCP.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Database</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Generative AI</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 30 Apr 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/dbmaestro-mcp-server/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-04-30T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/dbmaestro-mcp-server/en</dc:identifier>
    </item>
    <item>
      <title>Article: CodeGuardian: a Model Context Protocol Server for AI-Assisted Code Quality Analysis and Security Scanning</title>
      <link>https://www.infoq.com/articles/ai-code-guardian/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29</link>
      <description>&lt;img src="https://res.infoq.com/articles/ai-code-guardian/en/headerimage/ai-code-guardian-header-1776157217464.jpg"/&gt;&lt;p&gt;CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis capabilities. By implementing eleven specialized tools, CodeGuardian enables developers to access enterprise-grade analysis directly through their AI assistant, eliminating context-switching and reducing friction in adopting secure coding practices.&lt;/p&gt; &lt;i&gt;By Madhvesh Kumar, Deepika Singh&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Assisted Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Tue, 28 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ai-code-guardian/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29</guid>
      <dc:creator>Madhvesh Kumar, Deepika Singh</dc:creator>
      <dc:date>2026-04-28T09:00:00Z</dc:date>
      <dc:identifier>/articles/ai-code-guardian/en</dc:identifier>
    </item>
  </channel>
</rss>
