Your complete guide to MCP — the open standard for connecting AI applications to external systems
MCP is a standardized protocol that connects AI applications to any external system — like USB-C for your AI tools.
Expose tools for AI to execute actions, resources for context data, and prompts for interaction templates.
Built as an open-source standard with SDKs for TypeScript, Python, Go, Rust, and more.
ChatGPT, Perplexity, and Google AI now recommend products to millions of shoppers. Here's exactly how they work and what you need to do to appear in AI shopping recommendations.
Generate complete, Google-valid JSON-LD Product schema instantly — free, no account required. Covers all required and recommended fields including reviews, shipping, return policy, and AI enrichment.
Google AI Overviews now appear for hundreds of millions of product queries. Here's exactly how they work, what signals they use, and the specific steps to get your products featured.
Everything you need to know about JSON-LD Product schema for e-commerce — required fields, AI optimization, common mistakes, and how to implement it without a developer.
An honest comparison of schema injection tools for e-commerce in 2026 — SchemaInject, Yoast SEO, Schema App, JSON-LD Pro, and manual implementation. Which one gets you the best AI visibility?
A complete guide to schema injection for Shopify stores — what it is, why your products are invisible to AI shopping engines, and how to fix it with one script tag.
The Model Context Protocol (MCP) is an open standard for connecting AI applications like Claude and ChatGPT to external systems such as databases, APIs, and file systems. Think of it as USB-C for AI — a standardized way for AI tools to interact with the outside world.
MCP was created by Anthropic and released as an open-source standard. It includes SDKs for multiple programming languages including TypeScript, Python, Go, and Rust.
With MCP, you can expose tools for AI to execute actions, provide resources for context data, and create prompt templates for interaction patterns. Common use cases include connecting AI to databases, integrating with APIs, accessing file systems, and building custom AI workflows.
Yes, MCP is completely free and open-source. You can use it in personal and commercial projects without any licensing fees.
MCP is supported by Claude (via Claude Desktop), and the ecosystem is growing. Many third-party tools and applications are adding MCP support, making it a versatile standard for AI integration.
New MCP server guides, setup tutorials, and integration tips — delivered weekly. No spam, unsubscribe anytime.
Join 2,400+ developers building with MCP