Clos garden cracks: Nadella bet that Microsoft Co -Pilots – and the next Azure act – on A2A / MCP interoperability

Approval by the CEO of Microsoft Satya Nadella of the Open Protocol Open Agent2AGENT (A2A) of Google Deepmind and the Protocol of Context of the Model of Anthropic (MCP) will immediately accelerate collaboration and interdependence based on AI, leading to rapid gains in agenic applications and platforms.

Nadella’s approval provides the catalyst whose agentic AI development community needed to accelerate their collaborations, leading to entirely new applications, platforms and networks. Historically, was opened on the potential of the integration of agentic AI to all platforms, yesterday’s announcement, which also unveiled the next support for Copilot Studio and Foundry, has established a new precedent in the way Microsoft is committed to opening up agent standards.

On Wednesday, Nadella wrote on X (formerly Twitter) that “open protocols like A2A and MCP are essential to allow the agentic web”, before announcing the upcoming support in Copilot Studio and Foundry. Although often agree with the concept of open standards for the integration of agentic AI, it is the first time that it publicly learns a standard. Nadella’s influence on industry will lead to a passage from owner ecosystems to the multi -platform and agentic collaboration of AI.

Open protocols like A2A and MCP are essential to allow the agentic web. With the A2A support that arrives at Copilot Studio and Foundry, customers can create agenic systems that interoperate by design. https://t.co/8wzgyu8kkj

– Satya Nadella (@satyanadella) May 7, 2025

Commit to opening architectures

Nadella’s story to defend open and interoperable AI architectures extends over a decade. Throughout her many Keynotes and interviews, Nadella clearly indicated that open standards, not owner silos, are among the most reliable catalysts that are to stimulate the adoption of new AI technologies.

From 2018Nadella underlined Microsoft’s collaboration with Facebook on ONNX (Open Neural Network Exchange), one oPen model format. He said that which “is largely taken care of by all executives … as well as by the material acceleration of Intel, Qualcomm and Nvidia”.

At the end of last year, he reaffirmed an open platform approach to The development of AI, saying: “We rely on the ethics of the open platform of Github, bringing a multimodel choice to Copilot.” One of the main objectives of this effort is to allow developers to take advantage of AI models of any supplier instead of being locked in a single supplier.

Earlier this year, Nadella has doubled the opening in agency -aged architectures, applications and platforms, stressing that open source “has absolutely a massive and massive role to play” in advanced AI systems. He added that “having a posture that allows interoperability is incredibly important” for the AI ​​company.

Nadella also predicted that the more the AI ​​models become capable of assuming more complex tasks, the more the “models themselves become more a commodity, and any value is created by the way you direct, golf and refine these models with your commercial data and your workflow.” Thanks to dozens of interviews and Keynotes, Nadella continues to emphasize that the real competitive advantage comes from an open and flexible ecosystem where organizations can mix, match and personalize AI components to meet their needs.

A2A and MCP increase in importance

Nadella approval of A2A and MCP protocols shows how far the steering team of Microsoft has agreed that an open protocol approach is the best management for the company. Approving the two the same day shows how Microsoft is in its strategies linked to collaboration, the integration of agentics and how various agenic AI architectures can be combined.

You will find below a table comparing each protocol as well as a short explanation of its relevance in companies.

Protocol	Origin / Definition	Corporate relevance
A2A	Google Deepmind introduced Agent2agent (A2A) in 2025. It is an open protocol that standardizes inter-agent communication. It uses a shared scheme for AI agents to exchange tasks, requests and results, allowing agents of any supplier or platform to collaborate transparently.	A2A allows multi-Fourning workflows to integrate smoothly, reducing the locking of suppliers and supporting composibility on various platforms. This unlocks dynamic and interoperable agent ecosystems for automation and innovation of complex companies.
MCP	The context protocol of the model (MCP), open source by anthropic at the end of 2024, specifies how AI models require the context / data of external sources in a standardized and secure manner. It acts as a universal interface to connect AI models to tools and data, similar to a “USB-C port” for AI.	MCP offers a uniform method to attract business data and application features, rationalizing AI integration. This feeds security, governance and coherent scalability on platforms, which facilitates the deployment of AI assistants on a business level.

Addressing the locking of business suppliers early

Copilot business deployments being a strategic priority at Microsoft, it is understandable that Nadella has taken a preemptive measure to reduce the concerns of business buyers concerning the locking of suppliers.

Previous generations of the company’s products sold in companies were known to apply the locking of suppliers, either through complex and costly pricing strategies, or difficult integration techniques, especially if a comparable microsoft product was available.

Nadella has long told companies that he considers their infrastructure to be heterogeneous. By entering the role of the multiplatform catalyst, Nadella positions the Azure AI strategy of Microsoft as a viable alternative for business flow flows and continuous development, for example. Copilot can quickly be part of multi-agent work flows now.

Interested in allowing agentic AI providers to collaborate to create new agency applications, systems and platforms, Microsoft application of A2A and MCP will prove to be a remarkable catalyst for the agency’s growth of AI.

A quick victory for safety and compliance

From the point of view of compliance, standard protocols simplify the audit and the conformity of rationalization. When the agent-agent interaction is structured via A2A, organizations can follow exactly the entities that have exchanged information and when. This end -to -end visibility helps regulators see how customer data circulate in various agents. For example, if the personal medical records of a user have passed between an insurance agent and the planning agent of a hospital, the A2A newspapers can confirm compliance with data confidentiality data.

Conversely, standard MCP how AI systems require and consume data from business data. It also resembles zero confidence because the authorizations based on the roles govern each request, which helps to analyze data leakage. Microsoft’s strengthening of these protocols guarantees that even if an agent changes suppliers, for example, from a solution built by Microsoft to a smaller supplier solution, the same compliance rules remain in force, which reduces the risk of safety gaps.

Nadella has just accelerated the innovation of agentic AI

The A2A and MCP OPEN OPEN PROTOCOLS support guarantees that the main components of any stack of agentic AI technologies provided by Anthropic, Google or Microsoft will be compatible and capable of interoperability from the first versions of products. This removes large road dams for the hundreds of startups and original AI partners rely on these companies for future growth.

Deleting friction and costs of the integration of systems increases data speed, improves data quality and helps companies rely on these systems to serve customers more efficiently.

When speed is the functionality that everyone is pursuing, going all-in on open standards is fuel that will most certainly lead to faster innovation and more sustainable growth for each agental IA supplier.