WebMCP & AI Agent Blog
Practical articles on WebMCP, AI agents, and building for the agentic web.
WebMCP for Shopify and E-commerce: Making Your Store Agent-Ready
AI assistants are becoming a shopping channel. WebMCP lets your store expose structured tools — search, cart, checkout — so agents can complete purchases for customers directly.
WebMCP Implementation Examples
Copy-paste registerTool() patterns for the most common WebMCP use cases: e-commerce, SaaS, content sites, and forms.
WebMCP Browser Support: Chrome 146, Polyfill, and What Works Today
Native WebMCP landed in Chrome 146. Every other browser is covered by the WebMCP polyfill. Full compatibility breakdown.
WebMCP Lighthouse: How Chrome Scores Your Site for AI Agents
Lighthouse 13.3 added an agentic browsing category that scores WebMCP compliance. Learn what it checks, how to pass every audit, and why a 0 score will hurt agent traffic.
How Aigentably Generates WebMCP Tools from a URL
Inside the AI tool generation pipeline: sitemap-driven multi-page crawl, structured signal extraction with cheerio, per-page LLM calls, and a 24h crawl cache.
How to Make Your Website AI-Agent Ready
A practical guide to exposing your website's actions to AI assistants like Claude and ChatGPT. No scraping, no custom plugins, no backend changes.
WebMCP vs MCP: What's the Difference?
Both have 'MCP' in the name and both connect AI models to tools, but they solve completely different problems. A breakdown of where each one fits.
WebMCP vs Browser Automation: Why Scraping Is the Wrong Approach
Browser automation and web scraping let AI agents interact with websites, but they're fragile, slow, and break constantly. WebMCP is the structured alternative.