MCP-MinerU

MCP server for document and image parsing via MinerU. Extract text, tables, and formulas from PDFs, screenshots, and scanned documents with MLX acceleration on Apple Silicon.

Installation

This command installs and configures the server for all your Claude Code projects using uvx (no manual installation required).

Alternative methods: See Installation Guide for PyPI, source installation, and Claude Desktop configuration.

Features

• Multiple format support: PDF, JPEG, PNG, and other image formats

• OCR capabilities: Built-in text extraction from screenshots and photos

• Table recognition: Preserves structure when extracting tables

• Formula extraction: Converts mathematical equations to LaTeX

• MLX acceleration: Optimized for Apple Silicon (M1/M2/M3/M4)

• Multiple backends: Choose speed vs quality tradeoffs

Quick Start

Parse a PDF document

Extract text from a screenshot

Check system capabilities

For more examples, see Usage Examples.

Tools

parse_pdf

Parse PDF and image files to extract structured content as Markdown.

Parameters:

• file_path (required): Absolute path to file (PDF, JPEG, PNG, etc.)

• backend (optional): pipeline | vlm-mlx-engine | vlm-transformers

• formula_enable (optional): Enable formula recognition (default: true)

• table_enable (optional): Enable table recognition (default: true)

• start_page (optional): Starting page for PDFs (default: 0)

• end_page (optional): Ending page for PDFs (default: -1)

list_backends

Check system capabilities and get backend recommendations.

Returns: System information, available backends, and performance recommendations.

Supported Formats

• PDF documents (.pdf)

• JPEG images (.jpg, .jpeg)

• PNG images (.png)

• Other image formats (WebP, GIF, etc.)

Performance

Benchmarked on Apple Silicon M4 (16GB RAM):

• pipeline: ~32s/page, CPU-only, good quality

• vlm-mlx-engine: ~38s/page, Apple Silicon optimized, excellent quality

• vlm-transformers: ~148s/page, highest quality, slowest

Documentation

• Installation Guide - Detailed installation options

• Updating Guide - How to update to the latest version

• Usage Examples - More use cases and API reference

• MinerU Documentation - Underlying parsing engine

Development

License

Apache License 2.0 - see LICENSE file for details.

Acknowledgments

Built on top of MinerU by OpenDataLab.