🌐 Agentic Web & Infrastructure

Agentic Web & Infrastructure Glossary

The protocols, standards, and infrastructure powering AI agent interactions with the web — from NLWeb and MCP to edge-optimized content delivery.

8
Terms Defined
2026
Updated
NLWeb
Microsoft's open protocol enabling websites to be queried in natural language by AI agents — turning any site into a conversational data source.
WebMCP
Web-native implementation of Model Context Protocol for AI agent interactions with website data through standardized API endpoints.
MCP Server
A server implementing Model Context Protocol, exposing tools and data for AI agents to discover and use autonomously.
MCP Protocol
The Model Context Protocol — Anthropic's open standard for connecting AI agents to tools and data sources through a unified interface.
Agent-First Web Design
Designing websites with AI agents as a primary audience — structured data, APIs, and machine-readable content alongside the human experience.
Agentic Commerce
E-commerce transactions initiated and completed by AI agents on behalf of users — from product research to purchase execution.
AI Gateway
Edge infrastructure detecting AI agent traffic and serving optimized content to LLMs, tracking AI-driven visits separately from human traffic.
Optimize at Edge
Serving LLM-optimized content at CDN edge so AI agents get structured, citation-ready responses without hitting your origin server.

Frequently Asked Questions

What is the agentic web?
The agentic web refers to the emerging layer of protocols and infrastructure that enable AI agents to interact with websites autonomously. Rather than humans browsing pages, AI agents use standards like NLWeb, MCP Protocol, and WebMCP to query, retrieve, and act on website data programmatically.
What is the difference between NLWeb and MCP Protocol?
NLWeb is Microsoft's open protocol that lets websites be queried in natural language by AI agents, turning any site into a conversational data source. MCP Protocol (Model Context Protocol) is Anthropic's open standard for connecting AI agents to external tools, data sources, and services. NLWeb focuses on natural language querying of web content, while MCP provides a broader framework for tool and data access.
How does agent-first web design differ from traditional web design?
Agent-first web design prioritizes AI agents as a primary audience alongside humans. This means providing structured data, API endpoints, and machine-readable content so AI agents can efficiently access and process information. Traditional web design focuses solely on human visitors through visual layouts and interactive elements.

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