"DVC" matching MCP servers:

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.

An MCP server for reading, creating, and managing PDF, DOCX, and Excel documents with OCR, styling, categorization, and remote file bridges.

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 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.

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

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.

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

A Model Context Protocol server that enables listing and reading PDF documents from a configured directory, extracting text content for MCP clients like Claude Desktop.

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.

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.

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