What is an MCP server?

Why MCP servers exist

Before MCP, connecting an AI assistant to an external service meant custom glue code for every combination of model and tool. The Model Context Protocol, introduced by Anthropic in late 2024, standardized that connection. An MCP server advertises a list of tools, each with a name, description, and input schema, and the agent decides when to call them based on the user's request.

Because the protocol is open and uniform, one MCP server works across many clients. Build it once and it runs in Claude Code, Claude Desktop, Cursor, Windsurf, Cline, VS Code, and more.

What a server actually does

When the agent calls a tool, the request goes to the MCP server, which performs the real work (querying a database, calling an API, generating media) and returns a structured result the model can use. The server handles authentication, rate limits, and the messy details, so the agent does not have to.

The AetherWave MCP server, for example, exposes 16 tools for generating music, images, and video. When you ask your agent to make a track, it calls the server, which runs the generation and returns a finished, hosted URL.

Frequently Asked Questions

Is an MCP server the same as an API?

Not quite. An API is a general interface for any program. An MCP server is a specialized wrapper that presents capabilities to AI agents in the standard MCP format, including tool descriptions the model uses to decide when to call each tool. An MCP server often sits in front of one or more APIs.

Do I need to code to use an MCP server?

No. Using an existing MCP server is usually a one-line install or a single config block. You only need to write code if you are building your own server.