pdf-toolkit-mcp
Related Servers
Alternatives to pdf-toolkit-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceRust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.12293 PyPI5MIT
- AlicenseNot gradedqualityCmaintenanceA local MCP server that drives PDFium and pypdf to perform comprehensive PDF operations including inspection, assembly, page editing, watermarking, rendering, extraction, form filling, encryption, compression, attachments, bookmarks, and metadata management.MIT
- AlicenseAqualityCmaintenanceMCP server for generating professional PDFs from structured JSON in AI agents like Claude or Cursor, using pure Node.js with embedded fonts and precision text layout.654 npmMIT
- AlicenseAqualityAmaintenanceMCP server that converts HTML or Markdown to PDF and can generate PDFs from URLs, with tools generate_pdf and pdf_from_url.21MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides tools for reading, writing, and manipulating PDF files, including text extraction, metadata retrieval, and merging or splitting documents. It also enables users to create PDFs from plain text and convert specific pages or entire documents into images.35 npmISC
- AlicenseAqualityAmaintenanceA comprehensive MCP server with 37 tools for PDF operations including reading, searching, creating, merging, splitting, watermarking, form filling, and more, built on open-source libraries.3748 npm2MIT
TDQS
Scored across 22 tools
Each tool has a clearly distinct purpose, targeting different PDF operations (creation, manipulation, extraction, forms, etc.). Overlaps like multiple creation tools are differentiated by input format (text, markdown, template), so no ambiguity exists.
All tools follow a consistent 'pdf_verb_noun' pattern in snake_case (e.g., pdf_add_page_numbers, pdf_extract_text). The naming is predictable and each verb clearly indicates the action.
With 22 tools, the set covers a broad range of PDF operations without being excessive. Each tool addresses a specific need, and the count is well-suited for a comprehensive PDF toolkit.
The toolkit covers creation, manipulation, extraction, forms, search, comparison, and encryption. Minor gaps exist (e.g., no tool to update metadata, remove encryption, or compress), but core workflows are well-supported.