What is the Model Context Protocol (MCP)?

## A simple definition The **Model Context Protocol (MCP)** is an open standard that lets large language models call external tools, fetch data, and take actions in real systems. Anthropic introduced it in late 2024, and it has quickly become the de facto way to plug AI assistants into the rest of your stack. Think of MCP as the USB-C port for AI: a single, well-defined interface that any model and any tool can speak. ## Why MCP exists Before MCP, every AI assistant defined its own tool-calling format. ChatGPT had Plugins, Claude had its own function-calling schema, Cursor had project-specific extensions. Building an integration meant writing the same logic three or four times. MCP unifies that surface. Once your tools speak MCP, they work with **Claude Desktop, Cursor, ChatGPT, Windsurf, and any other MCP-compatible client** without changes. ## What an MCP server actually does An MCP server exposes three primitives: - **Tools** — actions the model can invoke (call an API, run a query, send an email) - **Resources** — read-only data the model can attach to its context - **Prompts** — reusable instructions the user can trigger For most teams, tools are the entry point. Each tool is a typed function with a name, description, JSON-schema input, and a handler that returns a result. ## Where easyMCP fits in Writing an MCP server by hand means setting up a Node or Python project, wiring up the SDK, defining schemas, handling auth, and deploying it somewhere with a stable URL. That is a lot of yak-shaving for what is essentially "wrap a REST endpoint." [easyMCP](/) is a visual builder for MCP servers. You point it at a REST API, configure auth once, click deploy, and you get a hosted MCP URL ready to paste into Claude or Cursor. ## Read next - [How to build an MCP server in 5 minutes](/blog/build-mcp-server-in-5-minutes) - [Connecting Claude Desktop to your MCP server](/blog/connect-claude-desktop)