common-crawl-mcp
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TDQS
Scored across 13 tools
Each tool targets a distinct piece of Common Crawl data: crawls, presence, dynamics, comparisons, locales, sections, URLs, duplicates, errors, robots, discovery, suffix enumeration, and text fetching. There is no overlap; even related tools like cc_presence and cc_dynamics are clearly differentiated by scope (single crawl vs. trend).
All tool names share the cc_ prefix, providing a strong family resemblance. The second part mixes nouns (cc_crawls, cc_urls) and verbs (cc_compare, cc_fetch_text), but the pattern is predictable and readable. Minor inconsistency: some names are plural nouns, some are singular abstract concepts, but the prefix makes the set coherent.
With 13 tools, the set is well-scoped for a Common Crawl analysis server. Each tool addresses a specific analytical need without redundancy or bloat. The count fits comfortably in the ideal 3-15 range.
The toolset covers the full lifecycle of Common Crawl exploration: discovering crawls, checking domain presence, tracking dynamics, comparing domains, drilling into URLs/content, diagnosing errors/robots, and identifying duplicates. It also supports domain discovery and suffix analysis, leaving no obvious dead ends for typical use cases.