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    Search and explore a catalog of 2,000+ MCP servers — full-text search, trending, hot, categories, and side-by-side comparison — from any MCP client. A zero-dependency stdio bridge over the hosted awesome-mcp.tools endpoint.
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    12 npm
    MIT
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    Enables an MCP client to query a token-driven SCSS design system out of the box, with no manual SDK or zod install step, exposing 30 tools covering themes, mixins, functions, tokens, animations, components, recipes, doc readers, size resolution, and prompt assembly. It resolves that data directly from the installed css-is-awesome package, so answers always match the version the user actually has.
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    MIT
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    Enables AI assistants to manage shopping lists and items (create, edit, delete, mark as purchased) via integration with a backend API.
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    Search and read recipes from the English Wikibooks Cookbook, with tools to rescale ingredient lists to a target number of servings.
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    128 npm
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    Extracts branded ingredients and kitchen tools from recipes, matches them to affiliate products, and generates shoppable ingredient lists to turn recipes into affiliate revenue.
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    Wraps the Hertwill dropshipping API to let AI agents discover products, evaluate margins, manage import lists, and sync to Shopify/WooCommerce via natural language.
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    Enables AI assistants to run code in 24 programming languages on HackerEarth's sandboxed servers and read the printed output or errors, without installing local toolchains. It also lists supported languages with exact identifiers for use when submitting code.
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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.
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    Enables AI agents to read and send email, handle attachments and manage calendar invitations through their own IMAP/SMTP mailboxes, with per-mailbox sender and recipient allow lists and automatic HTML-to-Markdown conversion. It runs as a single self-hosted Docker container, exposing the same tools over MCP and REST.
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    MCP server for evidence-based bullet point summarization guidance. Validates and improves bullet lists using scientifically-validated principles from cognitive psychology and UX research.
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