DocShark: a local-first documentation MCP server for AI

DocShark: documentation for AI, served locally Most AI tools are only as good as the documentation they can reach. When the docs are spread across websites, rendered client-side, or buried behind a maze of pages, the context you get back is often incomplete or stale. That is the problem DocShark is built to solve. DocShark is a fast, local-first Model Context Protocol server that scrapes, indexes, and serves documentation from any website. It turns documentation into a local knowledge base that your AI tools can search instantly, without depending on a cloud service or an API key. Live site: dsharkd.svelte-apps.me GitHub: https://github.com/Michael-Obele/docshark What DocShark does At a high level, DocShark does four things well: Crawls documentation websites. Extracts the useful content and converts it to clean Markdown. Breaks pages into context-aware chunks. Makes the result searchable through MCP and the CLI. The result is a local documentation layer that works with coding agents,