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Microsoft The support of the CEO Satya Nadella de Google Deepmind Agent2agent open protocol (A2A) and Anthrope model context protocol (MCP) It will immediately accelerate the collaboration and interdependence based on the agent, which will lead to rapid profits in applications and agent -based platforms.
Nadella’s support offers the catalyst that the agent’s development community needed to accelerate its collaborations, which leads to fully new applications, platforms and networks. Historically, it has been opened about the potential for AI Agentic to integrate on all platforms, yesterday’s announcement, which also revealed the next support for Copilot Studio and Foundry, established a new precedent in how Microsoft committed is to open agent standards.
On Wednesday, Nadella wrote in x (Previously Twitter) that “open protocols such as A2A and MCP are key to enabling the agent website”, before announcing the next support in Copilot Studio and Foundry. While often agrees with the concept of open standards for the integration of AI agent, this is the first time it supports a publicly standard. Nadella’s influence in the industry will lead to a change in patented ecosystems towards the collaboration of the cross platform.
Open protocols such as A2A and MCP are key to enabling the agent website. With the A2A support that reaches Copilot Studio and Foundry, customers can build agent systems that intersect by design. https://t.co/8wzgyu8kkj
– Satya Nadella (@satyanadella) May 7, 2025
Committing to open architectures
Nadella’s story of defending the open and interoperable architectures covers more than a decade. Throughout its many key notes and interviews, Nadella has made it clear that the open standard, not the owners, are among the most reliable catalysts that are to promote the adoption of new technologies of AI.
Already in 2018Nadella highlighted Microsoft’s collaboration with Facebook in Onnx (Open Neural Network Exchange), one orPencil model format. He said that onnx “is now compatible now for all frames … as well as the acceleration of Intel, Qualcomm and Nvidia hardware.”
At the end of last year, he reaffirmed an open platform approach TO AI development, saying: “We are building in the spirit of the Github open platform, bringing the choice of multiple models to the co -drivers.” One of the main objectives of that effort is to allow developers to take advantage of the models of the AI of any supplier instead of being locked in a single supplier.
Earl this year, Nadella doubled about the opening in agentic architectures, applications and platforms, emphasizing that open source “Absolutely has a massive and massive role to play” in advanced AI systems. He aggregate That “having a position that allows interoperability is incredibly important” for Enterprise ai.
Nadella also has provided That the more AI models become able to assume more complex tasks, the more “the models themselves become more a merchandise, and all value is created by how it directs, moves and adjusts these models with their commercial data and workflow.” Through dozens of interviews and key notes, Nadella continues to underline that the real competitive advantage comes from an open and flexible ecosystem where organizations can mix, combine and customize the IA components to meet their needs.
A2A and MCP are growing in importance
Nadella’s support from the A2A and MCP protocols shows to what extent the Microsoft senior team agreed that an open protocol approach is the best direction for the company. In passing both on the same day, it shows how far Microsoft is in its strategies related to the collaboration of the agent, integration and how the various architectures of AI can be combined.
Below is a table that compares each protocol together with a brief explanation of its relevance in companies.
Protocol | Origin/definition | Business relevance |
A2A | Google Deepmind introduced agent2agent (A2A) in 2025. It is an open protocol that stands out communication between agents. Use a shared scheme for AI agents to exchange tasks, applications and results, allowing agents for any supplier or platform to collaborate without problems. | A2A allows multiple suppliers’ workflows to be integrated without problems, reducing the blocking of suppliers and support compositions on various platforms. This unlocks ecosystems of dynamic and interoperable agents for complex automation and business innovation. |
MCP | The model context protocol (MCP), of origin open by anthropic at the end of 2024, specifies how IA models request context/data from external sources in a standardized and safe way. It acts as a universal interface to connect AI models to tools and data, similar to a “USB-C port” for IA. | MCP offers a uniform method to attract data and business applications, expediting the integration of AI. This feeds constant security, governance and scalability on all platforms, which facilitates the implementation of AI attendees throughout the company. |
Go to the past of the Early Business Supplier Block
Since co -ilot business implementations are a strategic priority in Microsoft, it is understandable that Nadella took a preventive step to reduce the concerns of business buyers about the blockade of suppliers.
The previous generations of the products of the company sold in companies were known for enforcing the blocking of suppliers through complex and expensive prices strategies or challenging integration techniques, especially if there was a comparable Microsoft-Native product available.
Nadella has long pointed to companies that see that their infrastructure is heterogeneous. By participating in the role of the multiplatforma enabler, Nadella positions Microsoft’s AI AI strategy as a viable alternative for business defe work flows and continuous development, for example. The co -pilot can quickly become part of the workflows of multiple agents now.
Interested in allowing agent’s suppliers to collaborate in the creation of new agent applications, systems and platforms, the A2A and MCP Microsoft application will prove to be a remarkable catalyst for the growth of the agent.
A rapid victory for security and compliance
From the compliance point of view, the standard protocols simplify the audit and transmission of compliance. When agent to agent interaction is structured through A2A, organizations can track exactly what entities exchanged information and when. This end -to -end visibility helps regulators to see how customer data flow through several agents. For example, if a user’s personal medical records are passed between an insurance agent and the hospital’s programming agent, A2A records can confirm compliance with data privacy.
On the contrary, MCP standardizes how IA systems request and consume data from business data sources. It also resembles zero confidence because roles -based permits govern each request, which helps analyze data leakage. Microsoft’s reinforcement of these protocols ensures that even if an agent changes to suppliers, for example, from a solution built by Microsoft to one of a smaller supplier, the same compliance rules remain in force, reducing the risk of security gaps.
Nadella has just accelerated AI’s innovation
The support of open and MCP open protocols ensures that the central components of any agent technology battery provided by Anthrope, Google or Microsoft will be compatible and capable of interoperability from the first product releases. That eliminates significant obstacles for the hundreds of startups and agent partners who depend on these companies for future growth.
Eliminating friction and system integration costs increases data speed, improves data quality and helps companies depend on these systems to serve customers more effectively.
When speed is the characteristic that everyone is chasing, going to open standards is the fuel that will certainly boost a faster innovation and a more sustainable growth for each agent supplier.
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