An MCP server is the application side of the Model Context Protocol: a service that exposes capabilities (post to social, query a CRM, run a report) as structured tools that AI assistants can discover, understand and invoke. Users connect a server to their assistant - increasingly with a one-click OAuth sign-in - and grant it scoped permissions.
A good MCP server describes each tool's purpose and parameters so the model can choose correctly, enforces the user's granted scopes on every call, and returns structured results the model can reason over.
Modern servers use OAuth 2.1 sign-in (no API-key pasting) and can expose large catalogs efficiently - for example a search/describe/execute facade over hundreds of API operations, so the assistant's context isn't flooded with tool definitions.
Example: connecting SmartlyQ's MCP server to Claude gives the assistant 60+ marketing tools - list accounts, generate a video, schedule posts, run SEO lookups - governed by the workspace and permissions chosen at sign-in.
Why it matters
For SaaS builders, an MCP server is how AI agents become users of your product. For teams, it's how one assistant operates many tools without copy-paste.
Connect SmartlyQ to Claude