An MCP server exposes tools (actions), resources (data), and prompts that any MCP-compatible client, such as Claude or an IDE assistant, can use.
It replaces one-off integrations: build one MCP server and it works across many AI apps.
Why it matters when you launch
Shipping an MCP server for your product is a new distribution channel: users can reach your features from inside their AI assistant.