"A tool for document extraction using MinerU" matching MCP servers:

Enables AI agents to search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX documents via MCP tools for retrieval, document navigation, and ingestion.

MCP server for parsing PDF, images, and Office documents into Markdown using MinerU, with tools for document parsing and reading previous results.

Enables parsing and extraction of content from various document formats (PDF, Word, Excel, PowerPoint) into Markdown format using the Niutrans document API.

Enables document parsing and extraction from PDFs and other formats using the MinerU API. Supports batch processing, page range selection, OCR in 109 languages, and VLM/pipeline models for high-accuracy content extraction.

Converts documents (PDF, Word, PPT, images, HTML) to Markdown via MinerU API. Supports URL and local file inputs with OCR, formula/table recognition, and automatic large file handling.

Enables document parsing through the Mineru API with support for multiple formats (PDF, DOC, DOCX, PPT, images), OCR, formula recognition, and table extraction in multiple languages.

Extracts structured JSON from receipts and invoices with Australian GST/ABN validation, per-line tax codes, confidence scores, and rationale.

Official MinerU MCP server for parsing PDF, DOCX, PPTX, images, and HTML into Markdown. Supports 109-language OCR, Flash mode (no token), and Precision mode (token)

Enables document and image parsing to extract text, tables, and formulas from PDFs, screenshots, and scanned documents. Features OCR capabilities, table recognition, LaTeX formula conversion, and MLX acceleration optimized for Apple Silicon.

Enables entity extraction from conversations using Claude AI, with tools to recommend coupons for membership inquiries and issue tickets for delivery delays.

Converts Word, PDF, PPT, and Excel documents to Markdown using the MinerU DocParse API. Supports synchronous parsing and async background tasks for large files.

Enables AI agents and MCP clients to convert PDFs, DOCX, PPTX, XLSX and images into structured Markdown with HTML tables and LaTeX formulas, either synchronously or as asynchronous tasks with page ranges. Runs entirely against a self-hosted parsing API over HTTP/SSE, so clients install no heavy dependencies and documents never leave the local network.

Enables structured information extraction from academic PDFs using LLMs, integrating with Claude Desktop for natural language querying and batch processing.

MCP server for document processing using MinerU APIs, supporting automatic splitting and merging of large files and providing six tools for document processing, task management, and token handling.

An MCP server that exposes documents.js's document conversion, .odb, metadata, and font tooling as MCP tools, enabling agents to convert, inspect, and edit a wide range of document formats over stdio.

An MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.

Provides AI agents with comprehensive document parsing capabilities including PDF text extraction, OCR, HTML-to-markdown conversion, table extraction, and summarization, optimized for agent workflows.

Enables natural language search and analysis of uploaded PDF, CSV, and Excel documents using retrieval-augmented generation and MCP tools, providing contextual answers to user queries.

Enables MCP clients to extract text from PDF, image, Word, PowerPoint, and Excel files using MinerU, either on the local machine or a self-hosted private-network API. Parsed results are saved locally as Markdown, structured JSON, and extracted images, which can then be read back in segments.

Enables MCP-compatible agents to convert PDFs and images into Markdown, JSON, HTML, LaTeX, DOCX, or ZIP by wrapping a document parsing service's REST API as callable tools, including uploads, parsing jobs, progress polling, and result downloads.