mcp-pdf
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Alternatives to mcp-pdf
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Related Servers
- AlicenseNot gradedqualityAmaintenanceThe local PDF workflow for Claude Desktop and MCP hosts: fill, sign, merge, split, extract, and analyze PDFs without sending files to a web app.0158MIT
- AlicenseNot gradedqualityBmaintenanceEnables 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
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to perform 13 PDF operations (merge, split, compress, watermark, encrypt, and more) on local files via MCP.3-
- AlicenseAqualityAmaintenanceLocal MCP server for PDFs: read PDFs into Markdown with tables, charts and OCR, export to Word, PowerPoint, EPUB and Excel, and merge, split, fill, compare and edit PDFs. Works only inside the folders you allow; nothing is uploaded.30122 npmApache 2.0
- AlicenseAqualityBmaintenanceEnables 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.8490 npmMIT
- AlicenseNot gradedqualityAmaintenanceA local MCP server that lets Claude, Cursor, Codex, or any MCP client work with Office documents on your Mac: evaluate spreadsheet formulas, read/write XLSX and PPTX, extract structured DOCX content, and merge/split/protect PDFs. 100% local, no network calls, no account. 14 tools.MIT
TDQS
Scored across 12 tools
Each tool has a clearly distinct role: inspection/counting, extraction, and specific output-producing PDF operations. The potentially overlapping trio pdf_split, pdf_pages, and pdf_reorder is explicitly differentiated by descriptions (ranges vs subset vs full-page permutation). License tools are also cleanly separated from PDF content tools.
Names are consistently snake_case and use recognizable prefixes: pdf_ for document tools and license_ for licensing. The only minor inconsistency is that some suffixes are nouns (pdf_info, pdf_pages) while others are verbs (pdf_merge, pdf_rotate), but the pattern remains readable and predictable.
Twelve tools are well-scoped for a PDF utility server, with each tool covering a meaningful operation. The two license-related tools support the product tiering without bloating the surface.
The set covers core PDF workflows: inspection, counting, text extraction, merge, split, page selection, rotation, stamping, watermarking, and reordering. Minor gaps remain, such as OCR/scan text recovery, metadata editing, or compression, but agents can work around most of these for common tasks.