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PyScrappy

by mldsveda
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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 24 tools

Disambiguation5/5

Each tool targets a distinct external service or data type (e.g., Wikipedia, YouTube, Amazon, weather) with clear boundaries. Even the generic tools (scrape_url vs scrape_with) have well-defined differences, and no two tools appear to do the same job.

Naming Consistency3/5

Tool names follow three main prefixes (scrape_, search_, get_) but are mixed with standalone verbs like convert_currency, define_word, and lookup_movie. The pattern is readable and somewhat predictable within each group, but the inconsistent prefixes and exceptions prevent a higher score.

Tool Count3/5

With 24 tools, the server sits in the 'heavy' range (16-25). However, the broad purpose of scraping many distinct sites justifies the count, though it feels slightly overstuffed compared to simpler scraping servers.

Completeness5/5

The server covers a comprehensive set of common scraping targets (general pages, Wikipedia, news, finance, e-commerce, media, jobs, etc.) and includes a generic dispatch (scrape_with) plus a registry explorer for third-party plugins. This makes the surface virtually extensible and free of critical gaps.

Maintenance

ActivityActive
ResponsivenessWithin a week

Resources