A
licenseA
qualityD
maintenanceMCP server for Averra Extract — lets AI agents like Claude, Cursor, and ChatGPT convert any webpage into clean, LLM-ready Markdown.
5
43 npm
MIT
octen-mcp
Officialby Octen-Team
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TDQS
A4.4/5.0
Scored across 6 tools
Disambiguation4/5
Each tool targets a distinct retrieval modality (general search, fan-out research, news, page extraction, images, videos), and the descriptions draw explicit boundaries. The main ambiguity is that news_search is essentially search with topic=news, and broad_search can also operate in news mode, so the text-search tools could occasionally be confused.
Naming Consistency4/5
Most tools follow a predictable <modifier>_search pattern (broad_search, news_search, image_search, video_search), with search as the base. extract breaks the pattern and the bare search is a slight deviation, but all names are lowercase snake_case and clearly signal their function.
Tool Count5/5
Six tools is a well-scoped size for a web research server: each tool maps to a distinct retrieval task and none feels redundant or ornamental. This sits comfortably in the ideal range and avoids overwhelming an agent with overlapping capabilities.
Completeness5/5
The surface covers the full web-research workflow: finding pages via single or multi-angle search, filtering by news or media type, and extracting clean content from known URLs. There are no obvious dead ends, and the descriptions explicitly connect follow-up actions between search and extract.
Maintenance
ActivityActive
ResponsivenessNo issues