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      TrendRadar aggregates hot news from multiple platforms and provides AI-powered trend analysis via the Model Context Protocol. It enables users to filter for relevant information and receive automated updates across various notification channels like Telegram, Slack, and WeChat.
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      MCP server for TrendRadar that provides AI assistants with access to aggregated real-time news and trending topics from multiple platforms, enabling AI analysis, smart filtering, and customized news delivery.
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    TDQS

    A3.7/5.0

    Scored across 27 tools

    Disambiguation2/5

    Multiple tools operate on overlapping news data, such as get_latest_news vs get_news_by_date and analyze_topic_trend vs analyze_sentiment, both of which provide trend analysis with similar parameters. The boundaries between these tools are not always clear, which could lead agents to misselect the wrong one.

    Naming Consistency5/5

    All tools follow a consistent snake_case verb_noun pattern (e.g., get_system_status, trigger_crawl, search_news, send_notification). There is no mixing of styles or unpredictable deviations, making the naming highly predictable.

    Tool Count2/5

    With 27 tools, the server exceeds the 25+ threshold for 'too many' tools. The broad scope of news aggregation, analysis, storage, and notification somewhat justifies the quantity, but the sheer number creates a heavy surface that can overwhelm agents when selecting the right tool.

    Completeness4/5

    The tool set provides end-to-end coverage of the core workflow: crawling, syncing, retrieving, searching, reading, analyzing, aggregating, comparing, and sending notifications. Minor gaps exist, such as no way to update configuration or manage keywords, but these do not block the primary use cases.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues