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		<title>New MCP specification addresses the main barrier to enterprise adoption</title>
		<link>https://oneplacenews.com/new-mcp-specification-addresses-the-main-barrier-to-enterprise-adoption/</link>
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		<dc:creator><![CDATA[One Place News]]></dc:creator>
		<pubDate>Thu, 30 Jul 2026 16:37:20 +0000</pubDate>
				<category><![CDATA[Technology & AI]]></category>
		<category><![CDATA[Addresses]]></category>
		<category><![CDATA[Barrier]]></category>
		<category><![CDATA[Enterprise]]></category>
		<category><![CDATA[Main]]></category>
		<category><![CDATA[Specification]]></category>
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					<description><![CDATA[This week, the Model Context Protocol (MCP), an open source standard for how AI systems interact with external tools and data sources, saw its largest update since its introduction. Most&#8230;]]></description>
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<p>This week, the <a href="https://github.com/modelcontextprotocol/modelcontextprotocol">Model Context Protocol (MCP)</a>, an open source standard for how AI systems interact with external tools and data sources, saw its largest update since its introduction. Most notably, MCP&#8217;s protocol core is now stateless, so requests are no longer dependent on a session tied to an individual server instance. This change has the potential to address long-standing barriers to scalability.</p>
<p>The blog post announcing the specification, written by lead maintainers David Soria Parra and Den Delimarsky (who both work at Anthropic), says:</p>
<p><a href="https://arstechnica.com/ai/2026/07/with-a-stateless-makeover-new-mcp-spec-targets-enterprise-scale/">Read full article</a></p>
<p><a href="https://arstechnica.com/ai/2026/07/with-a-stateless-makeover-new-mcp-spec-targets-enterprise-scale/#comments">Comments</a></p>
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