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    A Model Context Protocol server that automatically reads the Claude Desktop configuration file and presents all available MCP services in an easy-to-copy format at the top of the tools list.
    1
    11 npm
    3
    MIT
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    A personal digital twin MCP server that manages professional context, including skills, experience, and project learnings. It allows AI assistants to retrieve and update user preferences and career interests across different development environments.
    4
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    An MCP server for automated website generation that transforms Excel spreadsheets and structured data into responsive portfolios, catalogs, and directories. It enables users to create complete websites, add pages, and generate components through natural language and template-based integration.
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    MIT
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    Provides clipboard-style operations for AI coding agents to cut, copy, paste, and undo code blocks across files with session management and audit trail. Enables efficient code refactoring and boilerplate distribution through line-based file operations.
    16 npm
    2
    MIT
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    Fetches webpages or crawls sites locally, strips noise, and converts content to clean Markdown while preserving links, enabling fast, token-efficient web scraping for AI agents and LLM pipelines.
    MIT
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    Enables MCP clients and AI agents to fetch individual webpages or crawl sites and receive clean, link-preserving Markdown with caching and robots.txt-aware rate limiting, reducing token usage for downstream pipelines.
    MIT
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    Enables AI agents and LLM pipelines to fetch webpages or crawl sites, extract main content, and convert it to clean, token-efficient Markdown with preserved links. It supports configurable crawling depth, caching, robots.txt compliance, and optional chunking for downstream processing.
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    Enables AI coding tools to capture high-quality full-page or element-level screenshots of any URL, automatically tiling them into 1072x1072 chunks sized for LLM vision models, plus recording screencasts and animated WebP exports. Supports configurable viewports, wait strategies, and saving to disk instead of returning base64 images.
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    Enables AI agents and developers to fetch webpages or crawl sites locally, extract readable content, and convert it into clean, link-preserving Markdown with caching, rate limiting, and robots.txt compliance for efficient downstream processing.
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    Enables capturing full-page or CSS-selector-targeted webpage screenshots via a headless browser, automatically tiling large pages into 1072x1072 chunks sized for AI vision models. It also supports timed screencasts with JavaScript injection, exporting frames as PNGs or animated WebP files.
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    Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.
    2
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    139 npm
    MIT