F
licenseNot graded
qualityD
maintenanceIndexes PDF documents into Qdrant and exposes semantic search as MCP tools, enabling RAG-based interactions with your documents.
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context-retrieval
by ESPChong
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TDQS
A4.1/5.0
Scored across 7 tools
Disambiguation5/5
Each tool targets a distinct operation: reset/index/status/retrieval are clearly separated from the three extraction tools, which differ by output type (text/images/tables). Even though extract_document_text and index_document both process PDFs, one returns extracted text while the other persists chunks into the vector store, so an agent can choose unambiguously.
Naming Consistency4/5
Most tools follow a verb_noun pattern (reset_index, index_document, search_context), and the extract_document_* family is perfectly consistent. index_info is slightly off-pattern because it reads as a noun phrase rather than verb + object, but this is a minor deviation.
Tool Count5/5
Seven tools is a well-scoped size for a PDF extraction and RAG retrieval server. Each tool earns its place and there is no redundant duplication.
Completeness4/5
The core workflow is covered: documents can be extracted, indexed, searched, and the entire index can be reset. The main gap is the lack of a way to delete a single document from the index, with only reset_index for the whole store, and no explicit list of indexed file names.
Maintenance
ActivityMaintained
ResponsivenessNo issues