Linux Do MCP Server

Overview

The Linux Do MCP Server bridges the popular Linux‑do forum with AI assistants by exposing a rich set of RESTful endpoints. It solves the problem of programmatic access to community content, allowing developers to embed real‑time discussions, notifications, and user interactions directly into AI workflows. By turning forum data into structured JSON, the server enables Claude or other assistants to answer queries about latest posts, trending topics, and user‑specific updates without manual scraping.

The server offers both public and authenticated APIs. Public endpoints deliver the freshest content—new posts, top discussions over various time windows, hot topics, and categorized listings. Authenticated routes unlock personalized data such as unread messages, user bookmarks, private chats, and notification feeds. This dual‑layer approach keeps the service lightweight for casual use while providing deep integration for registered users who need tailored information.

Key capabilities include:

• Topic discovery: fetch new, hot, or top‑ranked threads across the forum.
• Category browsing: retrieve topic lists filtered by categories such as Development, Resources, or Job Market.
• User engagement: access unread posts, notifications, and private messages for real‑time alerting.
• Search & bookmark management: perform keyword searches and retrieve a user’s saved bookmarks or posted topics.
• Authentication‑aware personalization: endpoints that require an API key expose user‑specific data, enabling assistants to deliver contextually relevant responses.

Typical use cases involve building AI‑powered chatbots that keep developers informed about the latest security patches, answer questions about best practices by pulling from active threads, or notify users of new job postings. An assistant can also surface trending tutorials or open‑source projects by querying the categorized endpoints, making it a powerful tool for continuous learning and community engagement.

Integration is straightforward: an AI assistant calls the desired endpoint, receives JSON, and formats it into natural language. Because the server follows MCP conventions, developers can quickly add new tools or prompts that wrap these APIs, extending the assistant’s knowledge base with live forum data. The clear separation between public and authenticated routes ensures that sensitive user information remains protected while still offering rich functionality.