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dsouza-anush

Bright Data Web MCP

by dsouza-anush
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JavaScript
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    TDQS

    B3.3/5.0

    Scored across 60 tools

    Disambiguation4/5

    Most tools have distinct purposes, with clear separation between general scraping (extract, scrape_as_html, scrape_as_markdown, search_engine), browser interaction (scraping_browser_*), and structured data retrieval (web_data_*). However, some overlap exists between extract and scrape_as_markdown, as both can produce markdown, and among web_data_* tools for similar platforms (e.g., Instagram posts vs. profiles), but descriptions help clarify use cases.

    Naming Consistency5/5

    Tool names follow highly consistent patterns: snake_case throughout, with clear prefixes like 'scraping_browser_' for browser tools and 'web_data_' for structured data tools. The naming is predictable and organized, making it easy to identify tool categories and purposes at a glance.

    Tool Count2/5

    With 60 tools, the count is excessive for a single server, far beyond the typical well-scoped range of 3-15 tools. This large number can overwhelm agents and increase complexity, despite the server's broad web data domain, suggesting it could be better split into multiple focused servers.

    Completeness5/5

    The tool set provides comprehensive coverage for web scraping and data extraction, including general scraping, browser automation, and structured data from numerous platforms (e.g., Amazon, Google, social media). It supports a wide range of use cases with no obvious gaps, offering both raw and processed data retrieval methods.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources