<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for chartlibrary-mcp</title>
    <link>https://pypi.org/project/chartlibrary-mcp/</link>
    <description>Recent updates to the Python Package Index for chartlibrary-mcp</description>
    <language>en</language>    <item>
      <title>3.0.0</title>
      <link>https://pypi.org/project/chartlibrary-mcp/3.0.0/</link>
      <description>Chart Library MCP Server — intelligence layer for stock pattern agents. 11 tools: search, cohort, analyze, context, explain, portfolio, anchor_fetch, decompose (conditional slice discovery), clusters (K-means on intraday resolution), live_search (raw-bars → historical matches), report_feedback. Conditional distributions with conformal-calibrated quantile bands, catalyst-aware metadata, and per-cohort decomposition + clustering for SMB/prop-trader-style conditional analysis.</description>
<author>graham@chartlibrary.io</author>      <pubDate>Sat, 18 Apr 2026 12:53:13 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/chartlibrary-mcp/2.0.0/</link>
      <description>Chart Library MCP Server — 8 canonical tools (search, cohort, analyze, context, explain, portfolio, anchor_fetch, report_feedback) for grounded historical pattern intelligence. Conditional distributions with conformal-calibrated quantile bands, 7 regime filters, and a session-handle edge-mining loop for AI agents.</description>
<author>graham@chartlibrary.io</author>      <pubDate>Fri, 17 Apr 2026 12:02:07 GMT</pubDate>
    </item>    <item>
      <title>1.4.1</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.4.1/</link>
      <description>Chart Library MCP Server — 25 tools including the Conditional Distribution primitive with conformal-calibrated quantile bands and 7 regime filters (VIX, VRP, term structure, credit, curve, breadth, trend) for grounded base rates in AI agents</description>
<author>graham@chartlibrary.io</author>      <pubDate>Tue, 14 Apr 2026 15:41:52 GMT</pubDate>
    </item>    <item>
      <title>1.4.0</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.4.0/</link>
      <description>Chart Library MCP Server — 25 tools including the Conditional Distribution primitive with conformal-calibrated quantile bands for grounded base rates in AI agents</description>
<author>graham@chartlibrary.io</author>      <pubDate>Tue, 14 Apr 2026 13:29:32 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.3.0/</link>
      <description>Chart Library MCP Server — 25 tools including the Conditional Distribution primitive (cohort, refine, explain) for grounded base rates in AI agents</description>
<author>graham@chartlibrary.io</author>      <pubDate>Tue, 14 Apr 2026 11:28:09 GMT</pubDate>
    </item>    <item>
      <title>1.2.2</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.2.2/</link>
      <description>Chart Library MCP Server — 23 tools for context-aware chart pattern intelligence, market regime analysis, and agent-first trading signals</description>
<author>graham@chartlibrary.io</author>      <pubDate>Mon, 13 Apr 2026 10:57:03 GMT</pubDate>
    </item>    <item>
      <title>1.2.1</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.2.1/</link>
      <description>Chart Library MCP Server — 23 tools for context-aware chart pattern intelligence, market regime analysis, and agent-first trading signals</description>
<author>graham@chartlibrary.io</author>      <pubDate>Mon, 13 Apr 2026 10:21:29 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.2.0/</link>
      <description>Chart Library MCP Server — 23 tools for context-aware chart pattern intelligence, market regime analysis, and agent-first trading signals</description>
<author>graham@chartlibrary.io</author>      <pubDate>Sun, 12 Apr 2026 19:45:25 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.1.2/</link>
      <description>Chart Library MCP Server — 19 tools for chart pattern intelligence, regime analysis, and trading signals for AI agents</description>
<author>graham@chartlibrary.io</author>      <pubDate>Wed, 08 Apr 2026 12:04:20 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.1.1/</link>
      <description>Chart Library MCP Server — 19 tools for chart pattern intelligence, regime analysis, and trading signals for AI agents</description>
<author>graham@chartlibrary.io</author>      <pubDate>Mon, 06 Apr 2026 17:10:44 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.1.0/</link>
      <description>Chart Library MCP Server — 19 tools for chart pattern intelligence, regime analysis, and trading signals for AI agents</description>
<author>graham@chartlibrary.io</author>      <pubDate>Fri, 03 Apr 2026 17:45:17 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.0.2/</link>
      <description>Chart Library MCP Server — pattern intelligence for AI agents</description>
<author>graham@chartlibrary.io</author>      <pubDate>Mon, 30 Mar 2026 12:54:19 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.0.1/</link>
      <description>Chart Library MCP Server — pattern intelligence for AI agents</description>
<author>graham@chartlibrary.io</author>      <pubDate>Mon, 30 Mar 2026 10:10:48 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/chartlibrary-mcp/1.0.0/</link>
      <description>Chart Library MCP Server — pattern intelligence for AI agents</description>
<author>graham@chartlibrary.io</author>      <pubDate>Mon, 30 Mar 2026 10:08:02 GMT</pubDate>
    </item>  </channel>
</rss>