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    <title>PyPI recent updates for renoun-mcp</title>
    <link>https://pypi.org/project/renoun-mcp/</link>
    <description>Recent updates to the Python Package Index for renoun-mcp</description>
    <language>en</language>    <item>
      <title>1.3.1</title>
      <link>https://pypi.org/project/renoun-mcp/1.3.1/</link>
      <description>Structural observability for AI conversations and financial risk management. Detects patterns across 17 channels without analyzing content. Includes crypto risk overlay with validated drawdown reduction.</description>
<author>98lukehall@gmail.com</author>      <pubDate>Mon, 09 Mar 2026 22:54:05 GMT</pubDate>
    </item>    <item>
      <title>1.2.4</title>
      <link>https://pypi.org/project/renoun-mcp/1.2.4/</link>
      <description>Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content.</description>
<author>98lukehall@gmail.com</author>      <pubDate>Fri, 06 Mar 2026 15:29:23 GMT</pubDate>
    </item>    <item>
      <title>1.2.3</title>
      <link>https://pypi.org/project/renoun-mcp/1.2.3/</link>
      <description>Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content.</description>
<author>98lukehall@gmail.com</author>      <pubDate>Thu, 05 Mar 2026 22:51:03 GMT</pubDate>
    </item>    <item>
      <title>1.2.2</title>
      <link>https://pypi.org/project/renoun-mcp/1.2.2/</link>
      <description>Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content.</description>
<author>98lukehall@gmail.com</author>      <pubDate>Thu, 05 Mar 2026 19:13:46 GMT</pubDate>
    </item>    <item>
      <title>1.2.1</title>
      <link>https://pypi.org/project/renoun-mcp/1.2.1/</link>
      <description>Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content.</description>
<author>98lukehall@gmail.com</author>      <pubDate>Thu, 05 Mar 2026 18:45:10 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/renoun-mcp/1.2.0/</link>
      <description>Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content.</description>
<author>98lukehall@gmail.com</author>      <pubDate>Tue, 03 Mar 2026 20:31:09 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/renoun-mcp/1.1.0/</link>
      <description>Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content.</description>
<author>98lukehall@gmail.com</author>      <pubDate>Tue, 03 Mar 2026 19:48:21 GMT</pubDate>
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