An MCP (Model Context Protocol) server is a small service that exposes tools, data, and actions to an AI assistant over a standard protocol, so the assistant can use them safely. It is how a model such as Claude reaches your systems — reading a database, calling an API, running a task — through a defined, auditable interface rather than ad-hoc glue.
MCP standardises the connection between an assistant and the outside world, which means one well-built server works across MCP-aware clients (Claude Desktop, editors, and others) instead of a bespoke integration per tool. The engineering questions are the usual ones: authentication, least-privilege access, input validation, and observability.
We build production MCP servers on Cloudflare Workers, with bearer auth and a deployable template, so the assistant’s reach into your systems is controlled and inspectable.
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