{"id":32714,"date":"2025-04-10T11:20:14","date_gmt":"2025-04-10T03:20:14","guid":{"rendered":"https:\/\/www.1ai.net\/?p=32714"},"modified":"2025-04-10T11:20:14","modified_gmt":"2025-04-10T03:20:14","slug":"%e7%bb%a7-openai-%e5%90%8e%ef%bc%8c%e8%b0%b7%e6%ad%8c-gemini-%e6%a8%a1%e5%9e%8b%e5%b0%86%e6%94%af%e6%8c%81-anthropic-%e7%9a%84-mcp-%e5%8d%8f%e8%ae%ae","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/32714.html","title":{"rendered":"After OpenAI, Google's Gemini model will support Anthropic's MCP protocol"},"content":{"rendered":"<p>April 10, 2011 - After OpenAI announced that it would be adopting rival <a href=\"https:\/\/www.1ai.net\/en\/tag\/anthropic\" title=\"[View articles tagged with [Anthropic]]\" target=\"_blank\" >Anthropic<\/a> of AI models connected to data system standards after the<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%b0%b7%e6%ad%8c\" title=\"[View articles tagged with [Google]]\" target=\"_blank\" >Google<\/a>Also quickly followed up.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-32715\" title=\"c16f2403j00suhfwk0021d000oj00fap\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/04\/c16f2403j00suhfwk0021d000oj00fap.jpg\" alt=\"c16f2403j00suhfwk0021d000oj00fap\" width=\"883\" height=\"550\" \/><\/p>\n<p>Google DeepMind CEO Demis Hassabis took to the X platform on Wednesday to announce that Google will be providing its <a href=\"https:\/\/www.1ai.net\/en\/tag\/gemini\" title=\"[View articles tagged with [Gemini]]\" target=\"_blank\" >Gemini<\/a> Models and SDKs add support for Anthropic's Model Context Protocol.<a href=\"https:\/\/www.1ai.net\/en\/tag\/mcp\" title=\"[SEE ARTICLES WITH [MCP] LABELS]\" target=\"_blank\" >MCP<\/a>) support, though he did not give a specific timeline.<\/p>\n<p>Hassabis said, \"MCP is a great protocol that is quickly becoming an open standard in the age of AI agents. We look forward to working with the MCP team and other industry partners to further develop this protocol.\"<\/p>\n<p>According to 1AI, Model Context Protocol (MCP) is an open-source protocol introduced by Anthropic to enable the integration of big language models with external data sources and tools used to establish secure bidirectional connections between big models and data sources.<\/p>\n<p>The MCP protocol allows AI models to access data from data sources such as commercial tools and software to accomplish tasks, as well as extract data from content repositories and application development environments. The protocol enables developers to establish a two-way connection between data sources and AI-driven applications such as chatbots.<\/p>\n<p>Developers can expose data through MCP Servers and build MCP Clients, such as applications and workflows, that can connect to the appropriate servers when needed.<\/p>\n<p>In the months since Anthropic made MCP available, companies including Block, Apollo, Replit, Codeium, and Sourcegraph have added support for MCP to their platforms.<\/p>","protected":false},"excerpt":{"rendered":"<p>April 10, 2011 - After OpenAI announced that it would be adopting rival Anthropic's standards for AI model-connected data systems, Google was quick to follow suit. Google DeepMind CEO Demis Hassabis posted on the X platform on Wednesday that Google will add support for Anthropic's Model Context Protocol (MCP) to its Gemini model and software development kit (SDK), though he did not give a specific timeline. he did not give a specific timeline. MCP is a great protocol that is quickly becoming an opening for the AI agent era,\" said Hassabis.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[320,436,6078,281],"collection":[],"class_list":["post-32714","post","type-post","status-publish","format-standard","hentry","category-news","tag-anthropic","tag-gemini","tag-mcp","tag-281"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/32714","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=32714"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/32714\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=32714"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=32714"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=32714"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=32714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}