Microsoft CTO Kevin Scott says MCP is becoming the HTTP of the agentic web.

 

Microsoft CTO Kevin Scott says MCP is becoming the HTTP of the agentic web.  Like HTTP, it's lightweight, composable, and interoperable.  Microsoft is betting on MCP as the backbone for agent communication, scale, and evolution.

*The Model Context Protocol (MCP) is a standardized way for AI applications, especially those using large language models (LLMs), to interact with external tools and data sources. It's an open-source framework developed by Anthropic, aiming to simplify the integration of LLMs with the real world. MCP acts as a universal adapter, enabling LLMs to access data and perform actions in a consistent manner, similar to how USB-C standardizes connections for various devices

MCP simplifies the lives of developers by providing a standardised protocol for integrating AI agents with external tools and data sources. It promotes interoperability, reduces the need for custom integrations, and streamlines AI application development. MCP acts as a universal adapter, enabling LLMs to access real-world data and perform actions in a consistent and scalable manner.

MCP offers benefits such as enhanced context awareness, streamlined development, and improved security, making it a valuable tool for AI tool integration. The goal is for MCP to be the USB-C of AI, allowing for standardised AI model interactions.

MCP fosters an ecosystem of reusable connectors, allowing developers to build once and reuse them across multiple LLMs and clients, eliminating the need to rewrite the same integration in numerous ways. This unified data access means that with MCP, one protocol is configured, and then the LLM can "see" all registered connectors.

For example, now MCP servers let you connect Claude to powerful tools like GitHub, Slack, and Google Maps. These integrations help you save time, streamline workflows, and focus on what matters most.

Use Cases:

➤ OpenAI: MCP Integration in AI Agents and SDKs. OpenAI has adopted MCP to standardize AI-to-tool communication, recognizing its potential to enhance integration with external tools.

➤ Cursor: Enhancing Software Development with MCP-Powered Code Assistants. Cursor uses MCP to enhance software development by enabling AI-powered code assistants that automate complex tasks.

➤ Cloudflare: Remote MCP Server Hosting and Scalability. Cloudflare has played a pivotal role in transforming MCP from a local deployment model to a cloud-hosted architecture by introducing remote MCP server hosting.