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wxs-lang

webscout-mcp

by wxs-lang

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    • F
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      Enables AI agents to perform web searches, extract webpage content, and conduct end-to-end search-and-extract operations using multiple search providers and content extraction methods.
      -
    • A
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    • A
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      Provides AI agents with reliable web fetching capabilities, handling retries, caching, and anti-bot bypass automatically.
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    TDQS

    A3.5/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools target distinct operations: search, fetch, crawl, RSS parsing, quality analysis, and link checking are clearly separated. The only mild ambiguity is between web_extract and metadata_extract, but their descriptions (CSS selector extraction vs. page metadata) disambiguate them.

    Naming Consistency3/5

    Names are all lowercase snake_case and mostly readable, but the pattern is mixed: web_fetch, web_crawl, rss_parse, and metadata_extract use a target_verb order, while cache_stats, content_quality, broken_links, and search_health are noun-phrase names. A consistent verb_noun scheme would be clearer.

    Tool Count5/5

    11 tools is well within the ideal 3-15 range and each tool addresses a distinct web research task. The cache and health tools are not redundant; they support operationally important workflows for the server.

    Completeness5/5

    The tool surface covers the full web discovery and analysis lifecycle: search, fetch, crawl, CSS extraction, metadata extraction, RSS parsing, content quality checks, broken link checks, plus cache and health operations. There are no obvious dead ends for the server's apparent purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues