mcp-document-intelligence
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- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with local documents (PDF, Markdown, TXT) through tools for discovery, reading, extraction, summarization, comparison, keyword extraction, search, and analysis, ensuring privacy and offline capability.-
- AlicenseAqualityBmaintenanceEnables AI assistants to scan a messy folder, preview a dry-run plan that renames and sorts files into folders using a fully offline local model, then apply or undo it and surface duplicate files. Nothing is ever deleted — duplicates and old installers go to _tidy_trash/.6MIT
- AlicenseCqualityBmaintenanceLets an AI tidy up documents like an archivist: it reads files (built-in OCR), proposes a filing plan the person approves, renames by content, finds duplicates and leaves program data alone – every step logged and undoable.2634 PyPI3MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to extract and analyze text content from various document formats (PDF, DOCX, PPTX, XLSX) in local knowledge bases, and create new formatted Word and Excel documents with structured data and reports.5MIT
- AlicenseBqualityBmaintenanceLets AI assistants read, search, edit, annotate, sign, redact and OCR PDF files entirely on the local machine, with no uploads and non-destructive writes to new files. It also merges, splits and reorganises pages, fills forms, compares versions to detect tampering, and converts documents between PDF, Word, Excel, images and text, including turning bank statements into spreadsheet rows.22AGPL 3.0
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to parse and search documents including PDF, Word, Excel, PowerPoint, and images via OCR, with support for semantic search and batch processing.2MIT
TDQS
Scored across 13 tools
Most tools have clear distinct roles, but the organize family — auto_organize, process_downloads, batch_organize, and analyze_folder — overlaps heavily, differing mostly in scope (downloads vs arbitrary folder vs pre-supplied list). Similarly, rename_document vs smart_rename is only distinguished by the AI hint in the description, which an agent could overlook.
All names are snake_case and use action verbs (scan_, analyze_, rename_, move_, find_, undo_, export_), which is predictable. Minor deviations: smart_rename, auto_organize, and batch_organize prefix the verb with a modifier, breaking the pure verb_noun pattern.
13 tools is squarely in the reasonable range for a document intelligence server. There is mild redundancy among the three organize/pipeline tools, but each still earns a place for a distinct workflow.
The document lifecycle is well covered: scan, analyze (single and batch), rename, move, organize, undo, find, and export metadata. Gaps remain for delete/discard operations and a standalone copy or preview/get-document tool, so agents must work around a few edges.