Why MCP servers are essential for your documentation site (December 2025)

Developers increasingly rely on AI clients like Cursor and Claude for coding, but these tools often provide outdated information unless they have real-time access to current documentation via Model Context Protocol (MCP) servers. MCP serves as an open standard for connecting AI clients to up-to-date documentation, API schemas, and code repositories, transforming static web pages into structured, queryable resources. By enabling AI clients to directly access the most recent data, MCP servers reduce the time to the first successful API call, streamline the integration process, and minimize context switching, which is crucial as AI-generated code becomes more prevalent. With MCP, developers can receive accurate, real-time answers within their coding environment, thereby improving onboarding and reducing support issues. As AI-assisted development becomes the norm, with projections indicating 90% of organizations adopting MCP by the end of 2025, MCP servers are becoming essential infrastructure, much like SDKs and interactive documentation in the past. Automated solutions like those offered by Fern simplify MCP implementation by generating servers from existing API specifications, maintaining synchronization with documentation and ensuring secure, role-based access control.

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