pdf-parse-mcp
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- AlicenseNot gradedqualityDmaintenanceProvides random access to PDF contents with selective page extraction, text search, outline navigation, image extraction, and page rendering capabilities. Reduces token usage by allowing targeted content extraction instead of processing entire documents.4MIT
- AlicenseAqualityDmaintenanceEnables PDF processing and analysis including text extraction, metadata retrieval, search, page manipulation, splitting/merging, conversion to images, and form handling.10MIT
- FlicenseNot gradedqualityBmaintenanceEnables reading entire PDF documents into validated structured JSON, including tables, key-values, and markdown, with read-only extraction tools and layout reconstruction.-
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TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: pdf_info inspects document-level metadata, pdf_extract pulls structured content from a page, and pdf_render rasterizes a page or region to an image. There is no overlap in their primary functions.
All three tools follow a consistent pdf_<verb> pattern: pdf_info, pdf_extract, pdf_render. The naming clearly communicates the action and is uniform across the set.
Three tools is well-scoped for a PDF parsing server: inspect, extract structured content, and render. Each tool covers a distinct need without redundancy or bloat.
The set covers the core PDF inspection workflow: document info, page content extraction, and rasterization. Minor gaps exist such as no direct text search or page-range extraction, but the described workflow is complete for design-reconstruction use cases.