"Resources for Learning Linux" matching MCP servers:

Enables browser automation for LLMs on Linux display servers, supporting web interaction, screenshots, and JavaScript execution in a real browser.

Enables AI assistants to browse and interact with both Gopher and Gemini protocol resources safely and efficiently.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

A Model Context Protocol server that lets AI assistants communicate through Minionese, offering tools for chat and text transformation, reusable prompts, and resources for banana-aligned intelligence.

TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.

Enables authenticated access to Yonsei LearnUs course activities, assignments, schedules, announcements, notifications, video learning status, and course materials through local stdio tools.

Enables AI agents and compatible MCP clients to fetch, search, and download web content—including .onion services—anonymously through the Tor network, using a fresh circuit per call and retrying when exit nodes are blocked.

Enables web searches through DuckDuckGo with customizable parameters like region, safe search, and time limits. Provides structured search results, recent search resources, and research planning prompts for comprehensive information gathering.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Enables AI assistants to search TryHackMe rooms and extract room overviews, task instructions, commands, and questions as clean Markdown for training and reference. Supports session-cookie authentication for subscriber content and includes curated foundational cybersecurity and Linux learning tracks.

Enables AI assistants to perform domain reconnaissance using theHarvester OSINT tool, including email harvesting, subdomain discovery, DNS brute force, and Shodan integration, via SSH on a Kali Linux host.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

📈 提供股票、加密货币的数据查询和分析功能MCP服务器

An MCP server for learning purposes that integrates jina.ai tools for web search and reading.

Enables agents to search and read posts, images, and limited comments across Xiaohongshu, Weibo, Zhihu, and WeChat Official Accounts, with local OCR and traceable sources.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Combines Bing Webmaster data, GA4 AI-traffic opportunity matching, technical SEO scanning, AI-search content audits, approval-gated WordPress fix preparation, live verification, Bing URL submission, and IndexNow integration to help marketers improve pages for human readers and AI search.