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licenseA
qualityD
maintenanceA Model Context Protocol server that enables AI assistants to read PDF files, extract text, retrieve metadata, read specific pages, and search within PDFs.
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5
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pdf-mcp
by jztan
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TDQS
A3.6/5.0
Scored across 5 tools
Disambiguation5/5
Each tool serves a distinct purpose: cache clearing, corpus overview, server info, page rendering, and chart extraction. There is no functional overlap, so an agent can clearly differentiate between them.
Naming Consistency3/5
Most tools use the 'pdf_' prefix, but 'server_info' breaks this pattern. Also, there is inconsistency in verb/noun ordering: 'pdf_cache_clear' uses noun_verb, while 'pdf_render_pages' and 'pdf_extract_chart' use verb_noun, and 'pdf_corpus_overview' uses noun_noun.
Tool Count5/5
With 5 tools, the count is well-scoped for a PDF processing server covering essential operations: cache management, overview, diagnostics, rendering, and chart extraction. Neither too few nor too many.
Completeness3/5
While the set covers core viewing and analysis features, it lacks a dedicated text extraction tool. The overview tool provides text content, but a direct 'extract text' function is missing, which is a notable gap for a PDF server.
Maintenance
ActivityNo data
ResponsivenessResponsive