document-processing
8 servers · 1,306★ total
Give your AI agent eyes for PDFs — structured text, tables, OCR, visual evidence, and page-level citations via MCP. Native Rust, local-first.
Rust-native MCP server for Office document processing (Excel, Word, PowerPoint). Sub-millisecond, local-first, open source.
MCP server that lets Claude Code and other AI agents work through large PDFs, and whole folders of them, without overflowing context: hybrid semantic + keyword search, selective page reading, tables, images, OCR, chart data, and multi-column/CJK layouts.
A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for AI assistants.
A Model Context Protocol (MCP) server implementation exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling.
Swift-native MCP server for Microsoft Word (.docx) — 233 tools, the first pure-Swift OOXML library (no Word required). v3.13.5 closes #56 round-trip silent corruption (5 sub-stack rounds, 30 findings via 6-AI verify). Office.js Roadmap P0 100%: Track Changes, SDT, styles, numbering, sections, hyperlinks. Byte-preserving overlay save.
🤖 Tensorlake MCP Server. Maintained in collaboration w. Tensorlake & SIXT.
Research intake that reaches the hard places: web, video, papers, scanned PDFs, browser, OCR, and audio into structured research packets. DOM extraction and change tracking built in; provenance rides along on every item.