When Should Your Product Actually Have an MCP Server? A Practical Guide

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Model Context Protocol (MCP) is an open standard created by Anthropic that allows external AI agents to connect with and take actions through third-party products and data sources. Major players including OpenAI and Google have adopted the standard, prompting many founders to consider building MCP servers for their own products. However, experts caution that an MCP server is only necessary when external agents — such as Claude, ChatGPT, or a customer's internal agent stack — need to call your product directly, not when you simply want to add AI features to your own app. Products that already offer a well-documented REST API with an OpenAPI spec may not need an MCP layer at all, since most agent frameworks can already consume such APIs as tools. For teams that do need one, building an MCP server for a focused set of actions typically takes a single engineer a few weeks, with tool design — not the protocol itself — being the most time-consuming part.

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