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    <title>PyPI recent updates for openmarkets</title>
    <link>https://pypi.org/project/openmarkets/</link>
    <description>Recent updates to the Python Package Index for openmarkets</description>
    <language>en</language>    <item>
      <title>0.1.0a1</title>
      <link>https://pypi.org/project/openmarkets/0.1.0a1/</link>
      <description>OpenMarkets is a modular Model Context Protocol (MCP) server that unifies access to financial market data for AI, research, and quantitative finance. It offers robust APIs for historical prices, corporate actions, fundamentals, and more, enabling advanced agentic retrieval, RAG, and LLM-powered workflows.</description>
      <pubDate>Wed, 31 Dec 2025 06:31:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev122</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev122/</link>
      <description>OpenMarkets is a modular Model Context Protocol (MCP) server that unifies access to financial market data for AI, research, and quantitative finance. It offers robust APIs for historical prices, corporate actions, fundamentals, and more, enabling advanced agentic retrieval, RAG, and LLM-powered workflows.</description>
      <pubDate>Thu, 25 Dec 2025 18:42:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev121</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev121/</link>
      <description>OpenMarkets is a modular Model Context Protocol (MCP) server that unifies access to financial market data for AI, research, and quantitative finance. It offers robust APIs for historical prices, corporate actions, fundamentals, and more, enabling advanced agentic retrieval, RAG, and LLM-powered workflows.</description>
      <pubDate>Thu, 13 Nov 2025 21:16:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev120</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev120/</link>
      <description>OpenMarkets is a modular Model Context Protocol (MCP) server that unifies access to financial market data for AI, research, and quantitative finance. It offers robust APIs for historical prices, corporate actions, fundamentals, and more, enabling advanced agentic retrieval, RAG, and LLM-powered workflows.</description>
      <pubDate>Thu, 13 Nov 2025 19:45:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev119</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev119/</link>
      <description>OpenMarkets is a modular Model Context Protocol (MCP) server that unifies access to financial market data for AI, research, and quantitative finance. It offers robust APIs for historical prices, corporate actions, fundamentals, and more, enabling advanced agentic retrieval, RAG, and LLM-powered workflows.</description>
      <pubDate>Thu, 13 Nov 2025 19:42:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.0a0</title>
      <link>https://pypi.org/project/openmarkets/0.1.0a0/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Mon, 20 Oct 2025 04:54:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev118</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev118/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Mon, 28 Jul 2025 17:33:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev117</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev117/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Mon, 28 Jul 2025 17:26:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev116</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev116/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Mon, 28 Jul 2025 05:25:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev112</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev112/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Mon, 28 Jul 2025 04:54:28 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev110</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev110/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Mon, 28 Jul 2025 04:54:25 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev102</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev102/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Wed, 18 Jun 2025 02:52:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev53</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev53/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Fri, 06 Jun 2025 21:51:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev52</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev52/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Fri, 06 Jun 2025 17:06:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev50</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev50/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Fri, 06 Jun 2025 17:03:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev48</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev48/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Tue, 03 Jun 2025 18:52:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev44</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev44/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial market data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Tue, 03 Jun 2025 18:37:29 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev43</title>
      <link>https://pypi.org/project/openmarkets/0.1.0.dev43/</link>
      <description>A Model Context Protocol (MCP) server for agentic retrieval of financial data from Yahoo Finance. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.</description>
<author>python-dist@danchev.net</author>      <pubDate>Tue, 03 Jun 2025 18:05:14 GMT</pubDate>
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