MCP: The Universal AI Standard
Anthropic’s Model Context Protocol (MCP), described as “USB-C for AI,” has achieved mainstream adoption with OpenAI, Microsoft, and Google all implementing the standard. MCP enables AI agents to communicate with external tools and services through a unified interface.
What MCP Does
MCP provides a standardized way for AI models to:
- Connect to external databases and APIs
- Read and write files across systems
- Execute code in sandboxed environments
- Interact with enterprise software
- Coordinate with other AI agents
The USB-C Analogy
Just as USB-C standardized device connectivity, MCP standardizes AI-to-tool connectivity:
| USB-C | MCP |
|---|---|
| Connects devices to peripherals | Connects AI to tools |
| Single cable for power, data, video | Single protocol for all integrations |
| Works across manufacturers | Works across AI providers |
| Replaced proprietary connectors | Replaces custom API integrations |
Industry Adoption
OpenAI: Implementing MCP in Frontier platform for enterprise agent deployments
Microsoft: Adding MCP support to Copilot and Azure AI services
Google: Deploying managed MCP servers for Gemini integrations
Why This Matters
Universal MCP adoption means:
- Developers build one integration that works with all AI providers
- Enterprises can switch AI providers without rebuilding integrations
- AI agents become more capable through broader tool access
- The agentic AI ecosystem accelerates
Anthropic’s Strategic Win
By open-sourcing MCP and seeing competitors adopt it, Anthropic has positioned itself as a standards leader in AI infrastructure—even as it competes fiercely on model capabilities.
This analysis is part of FourWeekMBA’s AI News coverage. Read more in-depth analysis on The Business Engineer.








