Skip to main content
Glama
WindXRan

fanqie-radar

by WindXRan
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to fanqie-radar

No user-submitted related servers found.

    Related Servers

    • Google Trends MCP

      trendsmcp-ai
      A
      license
      A
      quality
      C
      maintenance
      Enables 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.
      3
      14
      MIT
    • TrendRadar MCP by snow-sprite

      TrendRadar MCPofficial

      snow-sprite
      A
      license
      A
      quality
      C
      maintenance
      Enables 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.
      27
      GPL 3.0

    • tiktok-trends-mcp

      trendsmcp-ai
      A
      license
      A
      quality
      B
      maintenance
      Provides TikTok trend data to AI assistants, including hashtag volume, growth rates, and top trending topics for early trend detection.
      3
      1
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 7 tools

    Disambiguation5/5

    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.

    Naming Consistency5/5

    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.

    Tool Count5/5

    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.

    Completeness4/5

    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.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources