What is MCP?
The Model Context Protocol (MCP) is an open standard that allows AI assistants to connect with external tools, services, and data sources in a consistent, structured way. Instead of building one-off integrations for every service, developers can expose their systems through an MCP server, and any compatible AI client can then discover and use those capabilities.
What is an MCP Server?
An MCP server acts as a bridge between an AI assistant and a specific application or service — for example, a content management system, a CRM, or an e-commerce platform. It exposes a defined set of “tools” that describe what actions are available, what parameters they accept, and what results they return.
What are MCP Tools?
Tools are the individual functions an MCP server makes available. Each tool typically has:
- A name — a unique identifier for the action
- A description — explaining what the tool does and when to use it
- Parameters — the inputs required to call it
- A response — the structured result returned after execution
For example, a WordPress-focused MCP server might expose tools like wp_list_posts, wp_create_post, or woo_get_order, allowing an AI assistant to manage blog content or e-commerce orders directly.
Why It Matters
MCP makes AI assistants far more useful in real-world workflows. Rather than only answering questions, an assistant connected to MCP servers can take action — creating content, updating records, fetching live data — all while respecting the boundaries and permissions defined by each tool.
As more platforms adopt MCP, the ecosystem of connectable tools continues to grow, making it easier to build AI-powered automation across everyday software.