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Microsoft CEO Satya Nadella’s Confirmation of Google Deepmind Agent2Agent (A2A) Open Protocol and Anthropic Model Context Protocol (MCP) Agent-based applications and platforms will immediately accelerate agent-based cooperation and reciprocal cooperation.
Nadella’s approval provides a catalyst for the agent of the Agentic AI development community to confirm, to completely new applications, platforms and networks. The date of integration of the company’s capacity of EU platforms has been open, yesterday’s announcement, as well as the upcoming support for Copilot Studio and casting, appointed a new precedent for how Microsoft is related to Microsoft.
Wednesday, nadella wrote in x (Previously Twitter), “Protocols such as A2A and MCP” Before announcing the Internet in the Copilot Studio and the concept of open standards for the EI integration, it was first confirmed in the industry. It will cause a slip toward the AI cooperation.
Open Protocols such as A2A and MCP are the key to the help of the agent website. With A2A support, Copilot Studio and Casting, customers can set up the designed agent systems. https://t.co/8wzgyu8kkj
– Satya Nadella (@satyanadella) 7 May 2025
Nadella’s open, interrelated AI architecture has been more than a decade. A nadella open standard along many keywords and interviews is among the most reliable catalysts for the adoption of the owner of the Owner Silos, New AI technologies.
At the beginning of 2018Nadella stressed cooperation with Microsoft’s Facebook with Onnx (Open Nervative Network Exchange)Pen model format. He said onnx “Now is widely supported by all frames … Also accelerate hardware from Intel, Qualcomm and Nvidia.”
Ended the approach of an open platform at the end last year tIn the development of the AI, “Copilota is building an open platform ethos of Github by bringing many model choices.” One of the main goals of this effort is to allow developers to use any providers from any provider instead of not locking a seller.
Earlier this year, Nadella agent EI stressed that AI architecture, applications and platforms are double in openness open source “In advanced AI systems” plays a massive, massive role. “He Added This is for the AI for the enterprise to “have a posture that allows you to interact.”
There is also Nadella projected Because the AI models are capable of accepting more complex tasks, “Models themselves are more commodities and all values created by steering and delicate how these models are working with job data and work flow.” Through interviews and keywords, Nadella emphasizes that there is a clear, agile ecosystem, which can mix and adjust the AI components of the organizations, adapt to the needs of organizations.
Approval of Nadella’s A2A and MCP protocols, the Microsoft Higher Management’s open protocol approach shows how the company is the best direction. On the same day, Microsoft Agent, which approves the same day, shows how integration and various agents are in their strategies related to AI architecture.
Below is a table that compares each protocol with the shortest explanation of the relevance in enterprises.
Protocol | Origin / Definition | Enterprise relevance |
A2A | Google Deepmind agent2agent (A2A) presented in 2025. The open protocol that standardizes agent communication. AI agents use a common scheme to achieve agents, desires and results, which provide agents, desires and results from any seller or platform. | A2A, multi-seller AI allows you to integrate into work flows, smoothly, reduce the seller and support compatibility on various platforms. This opens dynamic, interrelated agent ecosystems for complex enterprise automation and innovation. |
Mcp | The model context protocol (model fundpits indicates how open models open by anthropic in late 2024, a standard, reliable context / data from external sources. | MCP offers a single method to facilitate enterprise information and application functions, AI integration. This fuel and expansion of consistent security, management and expansion in platforms, EI assistants facilitates a wide range of enterprises. |
The enterprise is a strategic priority of a strategic priority in Microsoft, Nadella’s seller’s seller is understandable to reduce the concerns of the enterprise buyers.
The company’s products sold to enterprises have previous generations, sellers and expensive price strategies or difficult integration methods, especially comparable Microsoft-native products, were known for lock lock management.
Nadella gave the infrastructure as a heterogeneous enterprises signaled for a long time. Going to the role of a cross-platform platform, Nadella positions Microsoft’s Azure AI strategy, as an affordable alternative for enterprise, for example, as an ongoing development. Copilot can quickly turn into a part of many agent work flows.
Microsoft’s A2A and MCP, which is interested in creating new agent applications, systems and platforms in the agent, will prove to be a remarkable catalyst for EU.
From the point of view, the standard protocols facilitate audit and regulatory compliance. When the agent agent was established through A2A, organizations can watch the exchange of information and replace the organizations. This ending helps the visibility regulators to see how the customer data flows through various agents. For example, if a user passes a user’s personal medical notes between individual medical records and a hospital’s planning agent, A2A notes can confirm the confirmation of the information confidentiality.
On the contrary, MCP standardizes how the AI systems require and the consumption of information from the sources of information. It is also similar to zero trust that role-based permits that help analyze the information leakage of role-based permissions. Even if Microsoft’s strengthening of these protocols is changing an agent providers, the same compliance rules of compatibility, which are up to one of the Microsoft’s solutions, continues to reduce the risk of safety gap.
Supporting A2A and MCP open protocols provides the main components of any agent AI Tech Association provided by anthropic, Google or Microsoft. It removes significant road barriers to the AI start and partners of the hundreds of agents who trust these companies for future growth.
Extracting friction and expenses from integration systems, increases data speed, increase the quality of data and helps enterprises trust these systems to serve customers more effectively.
When the speed is the feature of everyone, open standards, of course, each agent is a faster innovation and more sustainable growth and more sustainable growth, more sustainable growth and more sustainable growth.