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Alternatives to trendradar-mcp

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to monitor and analyze public opinion, trends, and news from multiple platforms, with support for RSS, keyword filtering, AI translation, sentiment analysis, and trend predictions via natural language conversation.
      27
      GPL 3.0
    • A
      license
      A
      quality
      B
      maintenance
      Provides an AI-powered news aggregation and trend monitoring service, enabling multi-platform hotspot aggregation, RSS subscriptions, keyword filtering, AI translation, analysis briefs, and smart alerts delivered to various channels, all accessible through natural language via MCP.
      27
      1
      GPL 3.0
    • A
      license
      A
      quality
      C
      maintenance
      Provides AI assistants with access to TrendRadar's aggregated news feeds, enabling intelligent analysis, personalized filtering, and multi-channel notifications for real-time hot topics.
      27
      GPL 3.0
    • A
      license
      A
      quality
      C
      maintenance
      Provides AI-powered public opinion and trend monitoring with multi-platform aggregation, RSS subscriptions, keyword filtering, translation, sentiment analysis, and trend prediction, all accessible via natural language conversations and able to push alerts to various messaging channels.
      27
      GPL 3.0
    • A
      license
      A
      quality
      Not graded
      maintenance
      An AI-powered news and trend aggregator that tracks real-time hot topics and RSS feeds with personalized filtering and summaries. It enables users to monitor global trends and receive automated reports across multiple platforms including WeChat, Telegram, and Slack.
      27
      GPL 3.0
    • A
      license
      A
      quality
      D
      maintenance
      A real-time hotspot monitoring and news aggregation assistant that provides AI-powered analysis of trending topics across multiple platforms via the Model Context Protocol. It enables users to track news and receive automated notifications through various services like Telegram, WeChat, and Slack.
      14
      GPL 3.0

    TDQS

    A3.7/5.0

    Scored across 27 tools

    Disambiguation3/5

    The toolset is organized into recognizable categories, but several pairs overlap in purpose: search_news can also search RSS, making it close to search_rss; analyze_data_insights(platform_activity) and compare_periods(compare_type=platform_activity) cover similar ground; and get_latest_news vs get_news_by_date vs get_trending_topics require careful distinction. The detailed descriptions help, but an agent still has to make fine discriminations between several tool pairs.

    Naming Consistency5/5

    All 27 tools use consistent snake_case action_object naming: get_*, search_*, analyze_*, read_*, send_*, trigger_*, list_*, compare_*, etc. Even less standard verbs like resolve_date_range and sync_from_remote still follow the same predictable action-object pattern. This is a highly consistent and learnable naming system.

    Tool Count2/5

    At 27 tools, the server exceeds the 25+ threshold and places a heavy load on tool selection. Several tools could be consolidated, such as search_rss vs search_news(include_rss=True), read_article vs read_articles_batch, and the various status/config tools. The broad scope justifies more than a minimal set, but this many tools would be better split or thinned out.

    Completeness4/5

    The server covers the full workflow: date resolution, crawling/syncing, news/RSS retrieval and search, trend/sentiment/insight analysis, aggregation, period comparison, report generation, article reading, and notifications. Operational tools for storage, system status, and configuration are also present. Minor gaps exist mainly in non-core admin actions, such as modifying keywords or RSS subscriptions, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues