MCP Emerges as the Leading Protocol for Enterprise AI Interoperability

May 13, 2025 — Just seven months after its release by Anthropic, Model Context Protocol (MCP) is gaining rapid adoption as the preferred interoperability standard for enterprise AI systems. Major companies like OpenAI, MongoDB, Cloudflare, PayPal, Wix, and AWS have already integrated MCP servers or tools, signaling a potential industry-wide shift.

Why MCP Stands Out

MCP simplifies how AI models and agents interact with data and tools, offering advantages over traditional APIs:

• Granular control: Enterprises can configure custom access rules for external agents
• Natural interface: Transforms API interactions into chat-like conversations
• Directionality: Companies dictate what external agents can access on their systems

"MCP provides a very fine-grained method to control and expose capabilities," said Ben Flast, MongoDB's director of product.

Industry Momentum

Tech leaders are publicly endorsing MCP:

• Microsoft CEO Satya Nadella called it "key to enabling the agentic web"
• Google CEO Sundar Pichai gave enthusiastic approval
• Wix CTO Yaniv Even Haim said it aligns with their LLM-powered development goals

While some companies like Rocket Companies are taking a wait-and-see approach, most industry players recognize the need for interoperability standards as AI agents become more powerful.

The Road Ahead

The AI ecosystem may initially support multiple protocols (like Google's Agent2Agent or Cisco's AGNTCY), but MCP's growing adoption suggests it could emerge as the dominant standard. As SAP's Walter Sun noted, different protocols may serve different levels of the technology stack.

With major enterprises already implementing MCP servers and the protocol's ability to streamline AI workflows, MCP appears well-positioned to become enterprise AI's universal language for interoperability.