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    Enables searching and scraping job postings from supported sites via Playwright, extracting details, registering them to a Notion database with deduplication, and sending tiered collection summaries to Discord.
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    Enables MCP clients such as Claude Code to run real-time web searches and fetch public web pages as Markdown through DeepSeek's official search and fetch APIs, with result pagination and response caching. Runs over stdio and only requires a DeepSeek API key, needing no browser, Docker, or database.
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    MIT
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    A portable MCP server that scrapes SPA/JS-rendered webpages and extracts structured API endpoint data. It uses headless Chromium to render JavaScript and provides tools for scraping, endpoint extraction, screenshots, and database seeding.
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    Enables AI clients to drive a UI-testing toolbox with 35 tools, including a headless Playwright runner, live Chromium browser with screenshots, test management, and read-only database queries, all through the Model Context Protocol.
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    7 npm
    MIT
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    Enables agents to crawl and read websites politely, learning per host which reader, URL rewrite, or detail path actually reaches good information, and reusing those wins across runs or a shared database. Failures come back as coded errors with concrete next steps, so blocked or empty pages point to an honest alternative instead of endless retries.
    13
    MIT
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    Enables Claude Code and Gemini CLI to see your macOS screen, answering questions about the file, error, UI, database table, or web page you're looking at. Captures screenshots, reads database schemas, and controls Chrome/Brave, presenting answers as on-screen highlights or spoken bubbles above your cursor.
    31
    MIT
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    An MCP server that equips AI agents with real-world tools including file operations, read-only MySQL queries, web summarization, safe calculations, and system info. It uses stdio transport and enforces safety guardrails like SELECT-only database access and AST-based math evaluation.
    MIT
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    Enables MCP clients to list and compare saved Naver shopping products, update personal notes with revision checks, and retrieve saved product images, all through a local SQLite database without a cloud backend.
    MIT
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    A comprehensive operations platform providing browser automation, web search/crawling, database operations, deployment tools, secrets management, and analytics capabilities for full-stack software engineering workflows. Features AI-driven automation, real-time monitoring dashboard, and cross-platform service management.
    1
    MIT
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    Enables AI agents to drive a remote headless Chromium browser through Playwright on Vercel serverless functions, supporting navigation, snapshots, clicking, form filling, key presses, scrolling, text extraction, screenshots, and JavaScript evaluation. Browser state is carried in an encrypted client-side session token, so no database or third-party browser service is required.
    MIT
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    Enables coding agents to work inside a live WordPress Elementor editor tab: reading the canvas skeleton and element settings, creating/updating/moving/deleting elements through Elementor's own command API as single undo steps, taking pixel-accurate screenshots, running design lint, and receiving prompts the user types in the editor with Alt+Space. A ghost cursor and overlay let you follow along, and nothing touches the database directly.
    MIT
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    Enables AI assistants like Claude to drive a logged-in BOSS 直聘 recruiter dashboard through the Chrome DevTools Protocol, batch-searching candidates across many keywords, capturing resume screenshots and share links, deduplicating into a persistent local database, scoring and filtering candidates against YAML criteria, and exporting Markdown reports. It also supports sending greetings and tracking pipeline progress with resume-after-interruption.
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    Enables AI assistants to automate a recruiter's BOSS 直聘 workflow by driving an already-logged-in Chrome browser through the Model Context Protocol, so they can batch-search and deduplicate candidates, capture Canvas-rendered resumes as screenshots and extract permanent share links, filter and score candidates from YAML criteria, greet them, and export Markdown reports while persisting everything to a resumable local database.
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    Enables AI assistants to automate a logged-in recruiter console over Chrome DevTools Protocol, running multi-keyword candidate searches, capturing and de-duplicating profiles into a local database, extracting share links, scoring and shortlisting applicants against YAML criteria, exporting Markdown reports, and sending greetings. A resumable pipeline keeps results across interruptions so work can continue where it left off.
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  • F
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    Enables AI assistants to drive a logged-in recruiter account through Chrome DevTools Protocol to batch-search candidates across multiple keywords, screenshot Canvas-rendered resumes, extract share links, filter and score applicants, and export Markdown reports. Results are persisted to a local candidate database with deduplication and resumable pipelines.
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