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Google joins OpenAI in adopting Anthropic's protocol for connecting AI agents - why it matters
It's not every day you see major AI companies setting aside their rivalry to rally behind a common cause, but that's exactly what's happening with Google, OpenAI, and others as they embrace Anthropic's Model Context Protocol (MCP). On Wednesday, Google took to X to announce their support for MCP, which is set to enhance the performance of their Gemini models and SDK by allowing AI systems to tap into data stores, developer spaces, and business applications.
This move comes hot on the heels of OpenAI's announcement on March 26, where they declared their adoption of MCP, starting with their SDK. OpenAI's CEO, Sam Altman, hinted that MCP would eventually find its way into ChatGPT on desktop and in the app, though he left the timeline a bit fuzzy.
The rise of AI agents—those handy assistants that can tackle a variety of tasks, sometimes even on their own—has been nothing short of meteoric. But here's the catch: these agents are only as effective as the data they can access. In high-security and enterprise environments, integrating these agents with every system and data source can be a real headache, not to mention a scaling nightmare.
Enter MCP, which Anthropic generously open-sourced late last year. This protocol offers a universal standard that simplifies the integration process. To sweeten the deal, Anthropic rolled out pre-built servers for popular enterprise software like Google Drive, GitHub, and Slack, making it easier for businesses to jump on board.
"MCP is a solid protocol, and it's quickly becoming the go-to standard for the AI agent era," said Demis Hassabis, the co-founder and CEO of Google DeepMind. "We're thrilled to support it for our Gemini models and SDK. We're eager to collaborate with the MCP team and other industry players to further develop it."
Google isn't the only one on the MCP bandwagon. Companies like Block, Apollo, Zed, Replit, Codeium, and Sourcegraph have also hopped on, signaling a broader shift towards open-source solutions, particularly in the enterprise sector. This trend could be a sign of a larger transformation in the tech industry, especially as more companies dive into the world of AI agents, seen as the next big thing in tech.
While Hassabis didn't spill the beans on when Google would fully support MCP, the excitement around this protocol is palpable. It's clear that MCP is paving the way for a more connected and efficient AI ecosystem.
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Comments (22)
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![LeviKing]()
AI 대기업들이 경쟁을 잠시 접고 공동의 프로토콜을 받아들인다는 건 정말 이례적인 일이네요. MCP가 표준이 되면 에이전트 간 호환성이 크게 향상될 거라는 생각이 들어요. 하지만, 이렇게 핵심 기술 인프라를 몇몇 회사가 주도하는 구조가 장기적으로 생태계에 도움이 될지 걱정스럽기도 합니다. 🤔 경쟁보다 협력이 필요한 순간이 온 건 분명히 긍정적이에요!
![AlbertJackson]()
Könnte das endlich ein Schritt sein, KI-Agenten verschiedener Hersteller wirklich miteinander reden zu lassen? Interessant, dass sie sich auf Anthropic als Vermittler einigen. Hoffentlich wird das nicht nur ein weiteres proprietäres Tool, das alle nutzen müssen. Spannende Entwicklung auf jeden Fall! 🤔
![HaroldJohnson]()
Cool to see Google and OpenAI team up on Anthropic's protocol! 🤝 Makes me wonder how this’ll shake up AI agent interactions. Could be a game-changer for seamless tech!
![FredScott]()
It's wild to see Google and OpenAI teaming up on Anthropic's protocol! 😮 MCP sounds like a game-changer for AI agents working together. Curious how this’ll shake up the tech race—any bets on who benefits most?
![JohnHernández]()
This is wild! Google and OpenAI teaming up with Anthropic’s protocol? It’s like watching tech giants hold hands and sing kumbaya. MCP could make AI agents talk to each other better, but I’m curious—will this actually streamline things or just create another standard to fight over? 🤔
![NoahSmith]()
It's wild to see Google and OpenAI teaming up on Anthropic's protocol! 😮 This could really shake up how AI agents talk to each other. I'm curious if this means smoother AI apps or just more corporate handshaking. What do you all think this'll do for smaller AI startups?
It's not every day you see major AI companies setting aside their rivalry to rally behind a common cause, but that's exactly what's happening with Google, OpenAI, and others as they embrace Anthropic's Model Context Protocol (MCP). On Wednesday, Google took to X to announce their support for MCP, which is set to enhance the performance of their Gemini models and SDK by allowing AI systems to tap into data stores, developer spaces, and business applications.
This move comes hot on the heels of OpenAI's announcement on March 26, where they declared their adoption of MCP, starting with their SDK. OpenAI's CEO, Sam Altman, hinted that MCP would eventually find its way into ChatGPT on desktop and in the app, though he left the timeline a bit fuzzy.
The rise of AI agents—those handy assistants that can tackle a variety of tasks, sometimes even on their own—has been nothing short of meteoric. But here's the catch: these agents are only as effective as the data they can access. In high-security and enterprise environments, integrating these agents with every system and data source can be a real headache, not to mention a scaling nightmare.
Enter MCP, which Anthropic generously open-sourced late last year. This protocol offers a universal standard that simplifies the integration process. To sweeten the deal, Anthropic rolled out pre-built servers for popular enterprise software like Google Drive, GitHub, and Slack, making it easier for businesses to jump on board.
"MCP is a solid protocol, and it's quickly becoming the go-to standard for the AI agent era," said Demis Hassabis, the co-founder and CEO of Google DeepMind. "We're thrilled to support it for our Gemini models and SDK. We're eager to collaborate with the MCP team and other industry players to further develop it."
Google isn't the only one on the MCP bandwagon. Companies like Block, Apollo, Zed, Replit, Codeium, and Sourcegraph have also hopped on, signaling a broader shift towards open-source solutions, particularly in the enterprise sector. This trend could be a sign of a larger transformation in the tech industry, especially as more companies dive into the world of AI agents, seen as the next big thing in tech.
While Hassabis didn't spill the beans on when Google would fully support MCP, the excitement around this protocol is palpable. It's clear that MCP is paving the way for a more connected and efficient AI ecosystem.
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On March 19, Cursor officially released its in-house coding model, Composer 2. The announcement sparked immediate discussion in the developer community – according to Cursor, Composer 2 scored 61.7% on Terminal-Bench 2.0, notably surpassing Claude Op
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AI 대기업들이 경쟁을 잠시 접고 공동의 프로토콜을 받아들인다는 건 정말 이례적인 일이네요. MCP가 표준이 되면 에이전트 간 호환성이 크게 향상될 거라는 생각이 들어요. 하지만, 이렇게 핵심 기술 인프라를 몇몇 회사가 주도하는 구조가 장기적으로 생태계에 도움이 될지 걱정스럽기도 합니다. 🤔 경쟁보다 협력이 필요한 순간이 온 건 분명히 긍정적이에요!
Könnte das endlich ein Schritt sein, KI-Agenten verschiedener Hersteller wirklich miteinander reden zu lassen? Interessant, dass sie sich auf Anthropic als Vermittler einigen. Hoffentlich wird das nicht nur ein weiteres proprietäres Tool, das alle nutzen müssen. Spannende Entwicklung auf jeden Fall! 🤔
Cool to see Google and OpenAI team up on Anthropic's protocol! 🤝 Makes me wonder how this’ll shake up AI agent interactions. Could be a game-changer for seamless tech!
It's wild to see Google and OpenAI teaming up on Anthropic's protocol! 😮 MCP sounds like a game-changer for AI agents working together. Curious how this’ll shake up the tech race—any bets on who benefits most?
This is wild! Google and OpenAI teaming up with Anthropic’s protocol? It’s like watching tech giants hold hands and sing kumbaya. MCP could make AI agents talk to each other better, but I’m curious—will this actually streamline things or just create another standard to fight over? 🤔
It's wild to see Google and OpenAI teaming up on Anthropic's protocol! 😮 This could really shake up how AI agents talk to each other. I'm curious if this means smoother AI apps or just more corporate handshaking. What do you all think this'll do for smaller AI startups?
