What is an MCP server?
An MCP server is a program that exposes tools and data to AI assistants through the Model Context Protocol (MCP), an open standard for connecting AI applications to external capabilities. The assistant calls the server's tools — search this, fetch that, analyze this — and uses the results in its answer or its work.
Why MCP exists
Every AI application used to need custom integrations for every tool — N assistants times M tools. MCP standardizes the interface once on each side: any MCP-capable assistant can use any MCP server, the way any browser can load any website.
The result is an open ecosystem of thousands of servers — file access, browsers, databases, project trackers, code analysis — that plug into coding agents and desktop assistants alike.
Local vs. remote servers
MCP servers can run locally on your machine or as remote services. Local servers matter for anything touching private material — your files, your repositories, your credentials — because the data never leaves your hardware. Remote servers suit shared or hosted capabilities.
Choosing servers that earn their context
An agent's context window is scarce. Good servers return compact, structured answers instead of dumping raw content — the difference between a server that reads whole files at the agent and one that answers the actual question in a few hundred tokens.