A plain-English guide to the Model Context Protocol: what an MCP server does, when it is worth building, and how to do it securely.
It is a small service that gives an AI assistant a menu of specific, permissioned actions it can take in your systems — like look up an order or draft an invoice — instead of raw, unlimited access.
Any MCP-compatible client, including Claude on desktop, web and mobile, Claude Code, and a growing set of AI tools and agent frameworks. Build it once and multiple assistants can use it.
It can be safer than a human with broad access — when built right. Actions run as an identified user, role-based permissions are enforced in your API, tools are narrow and explicit, and every call is logged.
Local (stdio) servers suit individual desktop tools; remote (HTTP + OAuth) servers let your whole team or your customers use it. Many deployments need both, and we build either.