A
licenseA
qualityD
maintenanceEnables AI agents to securely read and extract information from PDF files including text content, metadata, and page counts from both local files and URLs within the project context.
1
2,180 npm
MIT
PDF Reader MCP Server
by rexfelix
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TDQS
A3.6/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: get_pdf_metadata retrieves metadata without reading content, while read_pdf extracts the actual text, tables, and images. There is no overlap or ambiguity between these functions.
Naming Consistency5/5
Both tools follow a consistent verb_noun pattern (get_pdf_metadata and read_pdf), using clear action verbs and the same domain prefix. The naming is predictable and readable throughout.
Tool Count2/5
With only 2 tools, the server feels thin for a PDF reader domain. While the tools cover basic reading and metadata, there are likely missing operations like searching within PDFs, extracting specific elements, or handling annotations, which limits functionality.
Completeness2/5
The tool surface is significantly incomplete for a PDF reader. It lacks essential operations such as search, annotation handling, page manipulation, or conversion to other formats. Agents will face dead ends when trying to perform common PDF tasks beyond simple reading.
Maintenance
ActivityInactive
ResponsivenessNo issues