A
licenseNot graded
qualityD
maintenanceEnables LLMs to accurately navigate and retrieve information from complex documents using Page Index RAG methodology.
4
MIT
PageIndex MCP
by VectifyAI
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TDQS
A4.2/5.0
Scored across 9 tools
Disambiguation4/5
Each tool has a distinct role in the document lifecycle, and overlapping discovery tools (browse vs. search) are explicitly differentiated. However, get_folder_structure vs. get_document_structure could momentarily confuse an agent despite their different targets.
Naming Consistency5/5
All tools follow a consistent snake_case verb_noun pattern, with get_* used uniformly for retrieval-oriented operations and clear action verbs like process, remove, browse, and search. There are no mixed conventions or vague generic names.
Tool Count5/5
Nine tools is well within the ideal range and each tool earns its place, covering ingestion, deletion, navigation, search, status checking, structure extraction, page content, and image retrieval without redundancy.
Completeness5/5
The tool surface covers the full document workflow: add/remove documents, browse/search the corpus, check processing status, navigate structure, extract page content, and retrieve images. There are no obvious dead ends or missing operations for the stated domain.
Maintenance
ActivityStale
ResponsivenessWithin a week