"PDF" matching MCP servers:

Full-stack PDF intelligence MCP server for extracting, manipulating, annotating, converting, validating, and RAG-searching PDFs through a unified tool surface and React workbench.

Upload, edit, compress, protect, redact, and compare PDFs with KDAN PDF in Claude and ChatGPT.

Local Markdown-to-PDF MCP server with four tools to list themes, render a document, validate an existing PDF, and create a document from a template. Requires Python, Pango/GLib, and fonts; its 0–100 report is heuristic, not print or accessibility certification.

Rust-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.

A 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.

Enables AI agents to permanently remove personally identifiable information from PDF documents, returning redacted files with the sensitive text deleted rather than merely covered. Supports scanned documents, multiple languages, entity types, and optional human review.

Local MCP tools to create, preview, inspect, verify, and compile PDF documents from HTML/CSS and structured data with Fullbleed. Python/Rust engine, MIT licensed, with document paths confined to a chosen workspace.

Fill any PDF form with AI agents — ML field detection on scans, visual review loop, reusable templates, and native AcroForm fill via justfill.app.

Empowers AI agents to securely read and extract information (text, metadata, page count) from PDF files within project contexts using a flexible MCP tool.

Enables AI coding agents to inspect digital or scanned PDF forms and worksheets, map detected answer slots through a virtual Excel/Set-of-Marks view, and inject baseline-snapped text, multi-line answers, or option marks into clean output PDFs. Supports visual verification of completed pages.

PDF Merge AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

PDF Tools AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A local document processing toolkit for AI agents that extracts text, converts PDFs to Markdown, merges files, extracts tables, and summarizes documents without external API dependencies.

An MCP server that enables interaction with the PDF Generator API for automated document generation and management. It supports both stdio and HTTP transports, allowing AI models to create and handle PDFs using OpenAPI v4 specifications.

Fast PDF tools for AI agents: 31 tools in one Rust binary. CLI, MCP server and library.

Enables comparison of baseline and counter-party contract clause revisions, flags high-risk shifts in indemnity, IP assignment, liability caps, and non-solicitation, and generates legal redline summaries with severity and escalation verdicts.

AI agents can inspect, fill, merge PDFs, and generate invoices deterministically using local file paths, without PDF bytes passing through the model context.

Extract text and Markdown from local PDFs and images. Uses native PDF text first and Apple Vision OCR on macOS. No OCR API key required.

Enterprise-grade PDF engine for AI agents. Pure TypeScript, zero-dependency, sandboxed, and local-first. Exposes 28 tools to generate ISO-compliant PDF/A documents, inspect layouts, extract text, handle digital signatures (PKCS#7), and render high-performance tables (10,000+ rows/s).

PDF extraction that actually works. The only extractor that audits every page. #2 on opendataloader-bench. 5 MCP tools for AI agents: metadata, convert, analyze, batch, structured extraction.