PDF Manipulation MCP Server
Related Servers
Alternatives to PDF Manipulation MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents and users to process documents through natural language, supporting PDF operations like text extraction, redaction, splitting, form filling, annotations, and content search.52 npm62MIT
- AlicenseAqualityDmaintenanceEnables PDF processing and analysis including text extraction, metadata retrieval, search, page manipulation, splitting/merging, conversion to images, and form handling.10MIT
- AlicenseCqualityCmaintenanceEnables AI assistants to perform PDF operations like merge, split, compress, convert, encrypt, OCR, and summarize using natural language.9810 npmMIT
- AlicenseBqualityDmaintenanceEnables comprehensive PDF operations including text/image manipulation, annotations, form fields, page merging/splitting/cropping, and metadata management using PyMuPDF.169MIT
- 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
- AlicenseNot gradedqualityDmaintenanceEnables PDF file manipulation including merging, splitting, extracting pages, extracting text, excluding pages, and reordering pages.29 npm1MIT
TDQS
Scored across 16 tools
Most tools target distinct actions or resources (e.g., add_text vs replace_text, add_image vs extract_images). Some overlap exists between crop_page and auto_crop_page, and between merge_files and combine_pages_to_single, but descriptions clarify the differences.
All tools follow a snake_case pattern with the pdf_ prefix and mostly verb_noun structure (pdf_add_text, pdf_rotate_page). The only deviation is pdf_split, which lacks an explicit object, but the pattern is otherwise consistent.
With 16 tools, the server is at the high end of what is typically well-scoped, but the breadth of PDF manipulation features (text, images, forms, pages, metadata, merging) justifies the count. Each tool covers a distinct need without excessive redundancy.
The tool surface covers the main PDF operations: editing, extraction, merging/splitting, page manipulation, forms, and metadata. Minor gaps exist, such as no explicit page reordering or form flattening, but these are not critical for the core purpose.