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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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    MIT

Matching MCP Connectors

  • Access all your MCPBundles tools in one place. Unified hub for all enabled bundles.

  • Trend data from Google Trends, YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam and more

  • Search for Model Context Protocol (MCP) servers using specific keywords to retrieve relevant information from the MCP Hub database.
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  • Evaluates meta-consciousness by scoring confidence calibration, learning awareness, self-continuity, and error monitoring. Provides a proxy for meta-representation capacity.
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  • Monitor audio continuously and provide AI-driven learning feedback for improvement. Supports customizable monitoring duration, in-depth analysis, and optional raw audio data inclusion for enhanced MIDI device control.
  • Retrieve historical price trends for any commodity like Brent Crude or WTI. Get high, low, average, and change over day, week, month, or year.
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  • Download academic papers by attempting source-native access first, then open-access repositories, with optional Sci-Hub fallback when other methods fail.
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  • Query structured training programs (learning paths) to retrieve metadata, enrollments, and student lists, with pagination and filters.
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  • Search Docker Hub for public images by keyword. Returns matching images with details like star count, official status, and description.
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  • List tags from a Docker Hub repository with Hub-specific metadata: last pushed date, per-platform sizes, digest. Public repos only.
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  • Analyze a Git repository for 14 security vulnerability classes, including prompt injection and secret exposure, before running it as an MCP server.
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  • Retrieve relevant learning rules for a code diff to avoid common mistakes before opening a PR.
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