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    This MCP server provides Wikipedia page view trend data, enabling AI to detect spikes, view historical traffic, and compare cross-platform trends to gauge public curiosity.
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    MIT
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    Enables querying Google Trends data directly from conversational MCP clients, including search interest over time, related queries and topics, regional breakdowns, and trending searches, for market research without leaving the chat.
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    Provides free Google Trends data (interest over time, term comparison, related queries, trending now, regional breakdown) to MCP-compatible AI clients without needing an API key.
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    MIT
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    A MCP server that aggregates hot trends and rankings from various Chinese websites and platforms including Weibo, Zhihu, Bilibili, and more.
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    Enables Claude to query Google Trends data such as keyword interest, related queries, and regional popularity, with robust proxy rotation to bypass Google's anti-bot measures.
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    MIT
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    Provides TikTok trend data to AI assistants, including hashtag volume, growth rates, and top trending topics for early trend detection.
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    MIT
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    Enables AI builders to discover trending open-source projects for a given task by ranking repos based on GitHub momentum, npm/PyPI growth, and Hacker News buzz, with tools to recommend, search, assess health, and compare repositories.
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    MIT
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    Search and retrieve news articles and trending keywords from Google News and Google Trends. Summarize articles and extract keywords using optional NLP and LLM Sampling to get concise insights.
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    MIT
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    The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.
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    Unlicense - libtelnet variant
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    An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.
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    MIT