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scrapedatshi

scrapedatshi-mcp

by scrapedatshi
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 12 tools

    Disambiguation4/5

    Tools are mostly distinct, with clear purposes like scrape_url vs crawl_site vs extract_data. However, some overlap exists: autorag combines crawl_site and sync_to_vectordb, and ingest_file is similar to the file-based equivalent. Descriptions help disambiguate.

    Naming Consistency4/5

    Naming follows a consistent verb_noun pattern (scrape_url, list_embedding_providers, verify_provider_key). Minor deviations: autorag is a brand name, get_usage_guide uses 'get' instead of a verb like 'show', and sync_to_vectordb has a preposition. Overall mostly consistent.

    Tool Count5/5

    12 tools is an appropriate number for a web scraping and RAG pipeline server. Each tool covers a distinct step or combination of steps, and the count is neither too few nor too many for the scope.

    Completeness5/5

    The tool set covers the full workflow: provider discovery, key verification, scraping (single/multi page, structured extraction), file processing, and full RAG pipelines (chunk, embed, inject). Includes a usage guide. No obvious gaps for the stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources