"ZDF" matching MCP servers:

Provides 18 PDF operations (merge, split, convert, edit, secure, repair, OCR) via iLoveAPI, callable from any MCP client like Claude Code or Claude Desktop.

Enables AI assistants to read, create, merge, split, and edit PDF files through natural language commands in GitHub Copilot Chat.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Generates PDF documents from HTML or Markdown content with customizable page size, margins, and orientation, supporting pay-per-call payments via x402.

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

Enables filling any PDF form, including scanned or AcroForm, through a browser-based drag-and-drop editor. Works entirely locally with no data leaving the machine.

Provides PDF analysis, data extraction, form filling, and comparison capabilities for Claude and Cursor, supporting both text and scanned documents with OCR.

The local PDF workflow for Claude Desktop and MCP hosts: fill, sign, merge, split, extract, and analyze PDFs without sending files to a web app.

Interactive PDF workspace shared by a human operator and an AI agent, enabling navigation, search, text extraction, annotations, form filling, and save actions via a PDF.js viewer.

Enables editing text in existing PDFs by modifying content stream operators, preserving original fonts and positions. Provides fidelity reports on every edit, indicating font preservation, substitution, overflow, and other degradations.

An 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.

Enables PDF file manipulation including merging, splitting, extracting pages, extracting text, excluding pages, and reordering pages.

pdf-tools-mcp

Enables MCP clients to parse charts and chart data out of PDF documents. The deployed service requires a bearer token on every request and rejects any tool argument that the tool's signature does not declare.

It enables AI agents and MCP clients to read, fill, create, export, and reconstruct fillable PDF forms, plus extract, search, and edit text and layout blocks, entirely against local files over stdio.

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

Enables AI agents to open local PDFs and edit existing text, images, annotations and form fields in place using the document's own embedded fonts, baselines and colours, with undo/redo and page rendering for visual checks. It also exposes 67 whole-document tools such as merge, split, compress, OCR, redact, sign, compare, watermark and conversion to and from PDF, all running locally over stdio.

MCP server to read protected (or unprotected) PDF files, extracting text to a temp file, and handling large PDFs.

MCP server for comprehensive PDF processing including text extraction with OCR, keyword search with regex, table extraction, and page preview as Base64 PNG images.

An MCP server that downloads PDF files from URLs and converts them to Markdown format. Supports custom file names and directories, with security measures like SSRF protection.

An MCP server that provides comprehensive PDF processing capabilities including text extraction, image extraction, table detection, annotation extraction, metadata retrieval, page rendering, and document structure analysis.

Provides tools for reading and extracting text from PDF files, supporting both local files and URLs.

Converts Markdown to styled PDFs using VS Code's markdown styling and Python's ReportLab, providing a simple note storage system with custom URI scheme.

MCP server for extracting text from PDF files, supporting local files and URLs.

A local MCP server that extracts text-layer content from PDF files, enabling AI agents to inspect, extract text, outlines, and page content.

This server converts PDFs to markdown with intelligent academic paper detection and dual processing engines (marker-pdf for academic content, PyMuPDF for general documents), supporting URL and local file handling, page extraction, batch processing, and PDF link crawling for Claude Code analysis.

Enables AI-powered PDF manipulation through natural language commands, integrating with Claude to perform operations like merging, splitting, encrypting, optimizing, and analyzing PDFs.

Enables AI agents to perform comprehensive PDF operations locally, including compression, text extraction, PII redaction, page organization, splitting, merging, watermarking, creation, and form filling, all without cloud uploads.

Enables reading and extracting text content from PDF files, supporting both local file system access and remote PDF URLs with automatic encoding detection.

Enables AI apps to extract tables from local text PDFs and return each table as CSV text, optionally saving the CSV files to a specified output directory.

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.

An MCP server for local PDF inspection that classifies, searches, extracts text and tables without uploading documents or relying on OCR, surfacing reliability warnings for garbled or scanned content.

MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.

Enables local conversion of PDFs to Markdown, with automatic OCR fallback for scanned pages, image extraction, and page-by-page structure preservation.

Enables AI assistants to natively read, edit, and redact PDF documents in place through MCP tools, eliminating manual script execution and layout issues.

A Model Context Protocol (MCP) server that provides comprehensive PDF redaction capabilities, including text and image redaction, search, and session-based in-memory operations using FastMCP and pymupdf.

Enables agents to read, search, and render PDFs confined to a single root folder, with hidden-text warnings and options to merge, split, and create PDFs from Markdown. Read-only by default, with writing tools offered only when explicitly enabled.

Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.

Enables MCP clients to inspect PDF structure and extract object-level data such as characters, words, tables, images, fonts, and metadata, with JSON/CSV export and image retrieval.

Extracts images from PDF files, allowing LLMs to access and analyze embedded images from local PDF documents.