"A tool for processing DOC documents" matching MCP servers:

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 an AI assistant to reliably read and chunk PDF/text documents, validate extracted JSON against a schema with full error paths, and save structured output—all confined to a single allowed directory.

Enables AI agents to perform safe, semantic edits on Markdown and DOCX documents through a normalized model with staging, diff review, and stale-edit protection.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

Enables local-first document versioning with content-addressable storage, word-level AST diffs, and AI-compliance auditing for LLM agents.

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

Provides comprehensive document processing, including reading, converting, and manipulating various document formats with advanced text and HTML processing capabilities.

Enables AI agents to generate PDFs from Markdown or URLs, extract text, merge documents, and perform text conversions via the Model Context Protocol.

An MCP server for document analysis that provides 21 tools for reading, text analysis, summarization, and data statistics, enabling AI clients to process and understand documents efficiently.

Enables AI assistants to read and extract text content from PDF, Excel, and Word documents via the Model Context Protocol.

Provides MCP tools to count, list, and read local documents in formats like PDF, DOCX, Excel, HTML, and TXT, enabling natural language-driven document statistics and content inspection via qwen_agent.

Enables Google Antigravity agents to quickly inspect and read PDF, Word, Excel, PowerPoint, and text documents, extracting structure and content as token-efficient Markdown.

A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.

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.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Enables large language models to refine Office documents (Word, Excel, PowerPoint) via interactive visual selection of text and fine-grained prompt annotations in a browser window, with version history and precise location-based edits.

Enables AI agents to read documents in Excel, DOCX, PDF, and TXT formats via MCP protocol.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

Enables local OCR transcription of images using tesseract.js, with optional low-token AI-generated descriptions, folder batch processing, and compatibility with MCP clients like ChatGPT, Claude, opencode, and Cursor.

Enables searching Word documents on remote FTP/FTPS servers by keyword, returning matching files with context snippets.