PDF Redaction MCP Server
Related Servers
Alternatives to PDF Redaction MCP Server
No user-submitted related servers found.
Related Servers
AlicenseAqualityBmaintenanceMCP server for local, verifiable PDF redaction. Enables AI agents to find sensitive regions, locate text, redact PDFs on-device, verify redaction and tamper-evidence seals, and generate PDFs—without uploading confidential documents.8272 npm-- AlicenseAqualityCmaintenanceAn MCP server for reading, rendering, and searching PDF files, specifically optimized for LLMs to extract text, tables, and technical diagrams. It enables metadata retrieval, multi-format text extraction, and page-to-image rendering using PyMuPDF.578MIT
- 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
- AlicenseAqualityCmaintenanceProvides a local-first MCP server for multi-format document redaction, enabling detection of sensitive content, physical removal from PDFs, DOCX, XLSX, PPTX, and text files, and forensic audit with zero network calls.7AGPL 3.0
- FlicenseAqualityNot gradedmaintenanceA Model Context Protocol server that extracts and processes content from PDF documents, providing text extraction, metadata retrieval, page-level processing, and PDF validation capabilities.41-
- AlicenseAqualityCmaintenanceA Model Context Protocol server that enables the extraction of text, metadata, and embedded images from PDF files. It provides tools for searching text with context, reading specific pages, and counting total pages within a document.714 npm1MIT
TDQS
Scored across 11 tools
Each tool targets a distinct operation: loading, saving, closing, extracting, searching, redacting by text/coordinates/images, verifying, and info. The redaction tools are clearly differentiated by their method. No two tools appear to overlap in purpose.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., load_pdf, save_pdf, redact_by_coordinates). The naming is uniform and predictable, with no mixed conventions or vague verbs.
With 11 tools, the server is well-scoped for PDF redaction workflows. Each tool has a clear role and the count is neither excessive nor too sparse. The coverage balances core redaction operations with supporting utilities like verification and info.
The tool set covers the full lifecycle of PDF redaction: loading, inspecting, redacting via multiple methods, verifying, saving, and closing. There are no obvious gaps for the stated purpose, and auxiliary features like search and extraction round out the domain nicely.