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ScrapeBadger MCP Server

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    TDQS

    A3.8/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool targets a distinct resource or operation (e.g., community, followers, trends, user profile vs. about), and the descriptions clearly differentiate them. No two tools appear to perform the same function.

    Naming Consistency5/5

    All names follow a consistent 'verb_twitter_noun' pattern using snake_case, with verbs either 'get' or 'search' and nouns clearly indicating the resource. No mixing of conventions.

    Tool Count5/5

    With 16 tools covering various Twitter entities (users, tweets, trends, lists, communities, places), the count is well-scoped for a scraping-purpose server, providing sufficient breadth without being overwhelming.

    Completeness4/5

    The tool set covers most read operations for Twitter scraping (profiles, tweets, followers, trends, lists, communities), but minor gaps exist such as lack of tools for getting retweets, tweet replies, or list members.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources