Paperboy
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- AlicenseCqualityDmaintenanceEnables AI assistants to perform PDF operations like merge, split, compress, convert, encrypt, OCR, and summarize using natural language.9811 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to inspect, read in token-budgeted chunks, search, and extract tables and images from PDFs, plus merge, split, reorder, and rotate pages. Works with pure-Python dependencies and confines all file access to explicitly allow-listed folders.MIT
- AlicenseBqualityBmaintenanceEnables AI assistants to inspect, search, compare, and extract text and metadata from PDFs, and to compile Markdown or JSON into styled A4 PDF reports with tables, callouts, code blocks, and images.6MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to edit text inside real PDF files in place while preserving fonts and layout, with a before/after preview. Also supports compressing, merging, splitting, converting, translating, generating and querying PDFs through a hosted remote MCP endpoint.MIT
- AlicenseAqualityCmaintenanceEnables AI apps to edit PDFs on the local machine through natural language, merging, splitting, extracting, rotating, deleting, reordering and duplicating pages, plus inspecting page counts and encryption status. All work runs locally with no uploads, and every operation writes a new file beside the untouched original.881 npmMIT
- AlicenseBqualityBmaintenanceEnables AI agents to perform local-first PDF processing entirely on-device, including OCR write-back to make scans searchable, unlocking and re-encrypting PDFs, splitting/merging/rotating pages, and compressing files, with no cloud calls or file uploads.251MIT
TDQS
Scored across 51 tools
Most tools are clearly separated by resource and action, from page editing to OCR and form filling. A few read/inspect tools overlap—get_metadata vs pdf_info vs inspect_hidden_data vs scan_pdf, and extract_tables/export_tables vs pdf_to_markdown/export_markdown—but their descriptions usually make the intended use clear.
All tool names are snake_case and follow a largely predictable verb_noun convention with recurring prefixes such as get_, list_, extract_, add_, and convert_. Exceptions like pdf_info, n_up, pdf_to_markdown, images_to_pdf, and convert_to_pdfa are readable but slightly break the pattern.
51 tools is very heavy for an agent-facing server, even for a broad PDF-processing domain. Most operations are genuinely distinct, but the surface could be consolidated into mode-based tools (for example one inspect tool, one export tool, and fewer page-layout variants) to reduce selection burden.
Coverage is exceptionally broad: reading, extraction, conversion, page editing, annotations, forms, encryption, OCR, comparison, sanitization, pipelines, and file discovery are all present. Minor gaps remain around individual comment update/delete, adding attachments, form creation, and digital signatures, but these are peripheral to the core PDF lifecycle.