Web Scraper MCP Server
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TDQS
Scored across 7 tools
Every tool has a clearly distinct purpose with no ambiguity. The tools are cleanly divided between scraping operations (scrape_images, scrape_text), listing operations (list_images, list_texts), cleanup operations (cleanup_images, cleanup_texts), and status monitoring (get_scraping_status). There is no overlap in functionality.
The naming follows a perfectly consistent verb_noun pattern throughout. All tools use snake_case with clear action prefixes (scrape_, list_, cleanup_, get_) followed by specific resource nouns (images, texts, scraping_status). There are no deviations in naming conventions.
The 7 tools are well-scoped for a web scraping server. Each tool earns its place by covering distinct aspects of the scraping workflow: initiating scrapes, listing results, cleaning up files, and checking status. This is an appropriate number for the domain without being too thin or bloated.
The tool surface provides excellent coverage for core web scraping operations with clear CRUD-like patterns (create via scrape, read via list, delete via cleanup). The only minor gap is the lack of update operations for existing scraped content, but agents can work around this by re-scraping. Status monitoring is included, which is valuable for workflow management.