fanqie-radar
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- AlicenseAqualityBmaintenanceEnables AI assistants such as Claude and Cursor to manage a Fanqie Novel author account directly — listing books, publishing or scheduling chapters, tracking per-chapter read and completion stats, checking review notices and violations, and pulling hot-word inspiration. It works over plain HTTP with cookie and CSRF-token authentication, requiring no browser automation.201MIT
- AlicenseAqualityCmaintenanceEnables AI clients to interact with the Fanqie free novel author backend, including listing works, fetching chapter statuses, retrieving statistics, and publishing or drafting chapters.71MIT
- AlicenseAqualityCmaintenanceEnables AI agents to query live trend data and historical search volume across 30+ platforms like Google, TikTok, YouTube, Amazon, and Reddit, including growth comparisons and top-ranking trends.316MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to query Google Trends data, including search interest over time, regional breakdowns, trending searches, and keyword ideas.MIT
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TrendRadar MCPofficial
AlicenseAqualityCmaintenanceEnables AI clients to query and analyze aggregated multi-platform trending news through natural language, offering tools for trend tracking, sentiment analysis, similarity search, and other news intelligence tasks.27GPL 3.0
TDQS
Scored across 7 tools
Each tool targets a distinct analytical concern: raw rankings, lookup, trend diff, genre aggregation, imitation scoring, keyword frequency, and data stats. Even the two heat-related tools are clearly separated by dimension: genre read volume vs. title-word frequency.
All tool names share the fanqie_ prefix, use lowercase snake_case, and combine the server domain with a descriptive noun or verb. The naming pattern is predictable and makes the set feel uniform.
Seven tools is a well-scoped size for a domain-specific ranking-analysis server. Each tool has a clear purpose and none feel redundant or ornamental.
The core analysis workflow—read rankings, search books, compare trends, assess genre heat, and score imitation candidates—is fully covered. The main gap is the absence of an explicit snapshot-capture or refresh tool to ensure trend data is available, though this may be handled externally or by the fetch path.