"MCP servers for reading and parsing PDF, Word, and PowerPoint documents" matching MCP servers:

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

MCP server for creating and reading Word (.docx) documents with rich formatting support.

A local MCP server that gives Claude a durable reading room for EPUB and plain text books, enabling chunk-by-chunk navigation, annotations, progress tracking, and shared margin cards.

Enables programmatic generation of Microsoft Word documents (.docx) from AI-generated text and data, with support for Markdown formatting, tables, headers, and rich document elements that are saved directly to the local file system.

A production-ready Model Context Protocol server that bridges local document management with cloud synchronization (Notion) for AI agent integration, enabling seamless access and sync of local and cloud documents.

Enables reading, creating, and appending content to Microsoft Word (.docx) files through natural language commands.

A Python application that allows creating and editing Microsoft Word (.docx) documents through an API, built with FastMCP for interacting with Word documents.

An 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.

Enables AI assistants to directly read, edit, and manipulate Word documents, supporting image and table operations, paragraph editing, and search/replace.

A server that provides tools for reading and processing PDF documents, allowing users to list available PDFs and extract their content in Markdown format.

Enables reading and analyzing Word documents with advanced features including table extraction, OCR image analysis, full-text search, and intelligent caching for optimized performance on large documents.

Enables PDF reading through MCP with text extraction, Chinese OCR for scanned documents, page rendering, and keyword file search from any compatible MCP client.

Enables AI assistants to create, read, edit, and analyze Microsoft Word documents through a standardized protocol, covering headings, paragraphs, lists, images, tables, styling, footnotes, comments, document protection, and PDF conversion. It also supports advanced manipulation such as inserting content relative to existing text, search-and-replace, custom styles, and detailed table and cell formatting.

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.

MCP server for real-time Microsoft Word document manipulation via COM automation. Word runs in a visible window — every change appears instantly.

A comprehensive MCP server for PowerPoint manipulation using python-pptx, providing 32 tools organized into 11 modules for creation, management, and professional design.

A consolidated MCP server for creating, reading, and manipulating Microsoft Word documents with 25 tools including search/replace, track changes, and document protection.

A Model Context Protocol server for creating, reading, and manipulating Microsoft Word documents, enabling AI assistants to work with Word files through document editing, formatting, and conversion capabilities.

Enables AI assistants to create, read, and manipulate Microsoft Word documents with rich editing capabilities.

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.

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

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 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.

MCP server for advanced Arabic Microsoft Word document creation, formatting, XML manipulation, and text repair with full RTL support. It enables users to generate, inspect, and modify .docx files through natural language and 13 specialized tools.

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

Memory-efficient MCP server for reading and splitting large PDF files page by page using PyMuPDF.

Create, merge, split and fill PDF files on your machine from Claude, ChatGPT, Cursor or any MCP client, with no upload.