SnapAPI MCP Server
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TDQS
Scored across 9 tools
Most tools are clearly distinct by output type (image, PDF, video, usage, devices), but scrape and extract overlap significantly—both return Markdown, plain text, and links from a URL. Descriptions help differentiate raw scraping from structured extraction, but an agent could still be uncertain which to choose.
Names are all lowercase and readable, but conventions are mixed: some are verb+object (get_usage, list_devices), some are bare verbs (scrape, extract, analyze, ping), and some are noun-like action commands (pdf, video, screenshot). There is no consistent verb_noun pattern, though the naming is still predictable enough to navigate.
Nine tools is a well-scoped set for a browser automation and web content API. Each tool covers a distinct core capability or supporting function, with no obvious bloat or redundancy that would make the surface feel heavy.
The tool surface covers the advertised SnapAPI capabilities thoroughly: scraping, structured extraction, screenshots, PDFs, video recording, AI analysis, device presets, usage checks, and connectivity verification. There are no obvious dead ends or missing core operations for this stateless, action-oriented API.