Docs MCP Server

Overview

The Docs MCP server is a lightweight, web‑hosted knowledge base that lets developers publish and share technical documentation directly from a local Hexo blog to the internet via Cloudflare Pages. By packaging Markdown content into static HTML and deploying it through a single, reproducible build pipeline, the server solves the common pain point of maintaining up‑to‑date, versioned documentation without needing a full‑blown content management system or manual hosting steps. This is especially valuable for teams that want to keep their documentation in sync with code changes, ensuring that any updates to libraries or frameworks are reflected instantly for end users.

At its core, the server exposes a set of resources that represent blog posts and configuration files. When an AI assistant queries these resources, it receives well‑structured JSON that mirrors the site’s hierarchy—articles such as “全面瞭解 n8n v1.88.0 的重磅更新” or “教會你用 Google AI Studio 提早結束工作回家.” The server’s tooling layer automatically converts Markdown to HTML, applies syntax highlighting, and embeds Cloudflare Workers scripts for caching and edge routing. This automation means developers can focus on writing content rather than wrestling with deployment tooling.

Key capabilities include:

• Automated static site generation via Hexo, ensuring that every commit triggers a fresh build.
• Cloudflare Pages integration, which provides global CDN, zero‑cost SSL, and instant cache invalidation.
• Environment variable support (e.g., ) for reproducible builds across different developer machines.
• Rich resource metadata that AI assistants can query to surface relevant documentation snippets or code examples on demand.

Typical use cases involve:

• AI‑powered knowledge bases where a Claude or other assistant can fetch the latest documentation directly from the server, answering developer questions in real time.
• Continuous learning platforms where new tutorials or pattern guides are automatically published as soon as they’re committed to the repository.
• Documentation for open‑source projects, allowing contributors to reference up‑to‑date guides without leaving the code review flow.

Integration into AI workflows is straightforward: an MCP client can request the “docs” resource, receive a JSON payload describing the article structure, and then retrieve specific content via tool calls. The server’s consistent API surface ensures that any AI assistant can navigate the documentation hierarchy, extract code snippets, or even embed interactive examples using Cloudflare Workers.

What sets this MCP server apart is its minimalism combined with powerful edge deployment. By leveraging Hexo’s simplicity and Cloudflare’s global infrastructure, developers get a hassle‑free, scalable documentation host that seamlessly plugs into AI assistants—making knowledge sharing fast, reliable, and automatically up‑to‑date.