"A tool for reading PDF files" matching MCP servers:

Well-designed PDFs from a single prompt. Describe what you need, get a professional document.

mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)

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

An MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.

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

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Listens for Discord @mentions via Gateway and queues them for processing by an agent, exposing a tool to retrieve pending mentions for automated responses.

Connects the official McDonald's China MCP to any remote-HTTPS MCP client through a single mcd_one_click tool that chains read queries on the backend and returns previews plus a one-time confirmation ticket before executing account-changing actions like ordering, coupon claiming, or point redemption. Deployers supply their own official MCP token and a self-generated gateway token, and can run it without a VPS via Vercel, Render, Cloudflare Workers, or GitHub Pages.

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.

Converts Markdown files and standalone Mermaid diagrams into high-quality PDF or PNG documents using Puppeteer and SVG rendering. It supports custom CSS styling and provides tools for professional document generation from markdown-based content.

Enables ChatGPT to query stores, menus, meal details, and coupons, calculate official prices, prepare orders for per-order owner approval, submit approved intents, and check order status with duplicate-submission and UNKNOWN safeguards.

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

Provides tools for extracting text, performing OCR on scanned documents, and retrieving images from PDF files. It enables Model Context Protocol clients to process PDF content page-by-page through specialized extraction tools.

This MCP server enables interactions with the PDF Generator API for creating, converting, and managing PDF documents using natural language commands.

Enables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.

An MCP server for reading and managing RSS feeds from a self-hosted FreshRSS instance, enabling listing feeds, fetching articles, and subscribing/unsubscribing through the FreshRSS API.

Enables creating PowerPoint presentations by rendering HTML/CSS slides as full-slide images and exporting them to .pptx files, with a preview tool for visual checking before finalizing.

Enables generating, reading, auditing, and previewing BPMN 2.0 diagrams for Bizagi Modeler, with an automatic layout engine that produces files Bizagi can open, plus optional control of the Bizagi Modeler desktop app on Windows.

Enables parsing PDF files from local paths or URLs into structured JSON or Markdown format using NetMind's AI-powered PDF extraction service.

Enables AI apps to work with Google Sheets in plain language: finding spreadsheets, reading and writing ranges, managing sheets, formatting, validation, protected ranges, tables, charts, and access control, with deliberate writes and destructive operations clearly marked.

Enables AI assistants to search, read, draft, and send Gmail messages, as well as manage labels and trash using natural language.

Enables sending and receiving email over generic IMAP and SMTP, with tools for searching, reading, drafting, attaching files, managing folders, and waiting for new messages.

MCP server for generating professional ATS-friendly CVs as PDF/DOCX from AI conversations. Auto-manages a Docker container with a visual editor for layout customization.

Enables AI assistants to manage Google Contacts through natural language, including searching, reading, creating, updating, and deleting contacts, organizing labels and groups, running batch operations, and converting auto-saved Other contacts into regular ones.

An MCP server for the Google Forms API that enables creating and editing forms, publishing them, reading responses, and setting up push notifications from AI clients using natural language.

Create, review and edit editable Word, PowerPoint, Excel and PDF files from any AI agent. Remote MCP server with OAuth sign-in or an API key, or local over stdio with npx @doconda/mcp.

Enables a local STDIO MCP client to submit tasks to your own Notion personal AI chats, resume reading results by job ID after timeouts or disconnects, and send follow-up corrections in the same thread. Full long-form answers, code files, and SHA-256 hashes are saved to local files so complete outputs can be retrieved rather than just short previews.

Enables Claude to interact with WhatsApp on macOS through the Model Context Protocol. It allows reading messages, searching contacts, listing chats, and sending replies via natural conversation.

A server providing tools to read, write, and edit Microsoft Word (docx) files through the Model Context Protocol, allowing operations like complete document reading, content creation, targeted paragraph editing, and text insertion.