In today’s evolving digital landscape, traditional Search Engine Optimization (SEO) continues to drive click-through traffic via organic rankings. Yet emerging alongside it is Generative Engine Optimization (GEO)—a strategy to ensure your content is included, cited, or summarized by AI-powered systems such as ChatGPT, Microsoft Copilot, and other generative engines.
The Model Context Protocol (MCP) is an open standard developed by Anthropic to enable consistent interaction between large language models (LLMs) and external systems like tools, databases, and file storage. It addresses the “N×M” integration problem—where multiple AI models must connect to multiple data sources—with a unified protocol. MCP was introduced in November 2024 and has seen rapid adoption by platforms including OpenAI, Google DeepMind, Replit, and Microsoft.
MCP relies on a modular host–client–server architecture built over JSON‑RPC 2.0. This design supports scalable, dynamic tool and resource access while maintaining clear boundaries and user consent flows .
The Model Context Protocol (MCP) enables Claude Desktop to securely interact with local tools or files via local MCP servers. This guide shows you how to install and configure a local filesystem MCP server so Claude can access files on your computer with your approval for each action.
The filesystem MCP server exposes directory access tools. You can launch it using npx directly.
As AI-driven platforms like ChatGPT, Microsoft Copilot, and Perplexity reshape how users find information, AEO —Answer Engine Optimizati...
