OpenClaw

mineru-pdf

Parse PDF documents with MinerU MCP to extract text, tables, and formulas. Supports multiple backends including MLX-accelerated inference on Apple Silicon.

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install etoile04/mineru-pdf

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

MinerU PDF Parser

Parse PDF documents using MinerU MCP to extract structured content including text, tables, and formulas with MLX acceleration on Apple Silicon.

Installation

Option 1: Install MinerU MCP (for Claude Code)

claude mcp add --transport stdio --scope user mineru -- \
  uvx --from mcp-mineru python -m mcp_mineru.server

This installs and configures MinerU for all Claude projects. Models are downloaded on first use.

Option 2: Use Direct Tool (preserves files)

The skill includes a direct parsing tool that saves output to a persistent directory:

python /Users/lwj04/clawd/skills/mineru-pdf/parse.py <pdf_path> <output_dir> [options]

Advantages:

✅ Files are saved permanently (not auto-deleted)
✅ Full control over output location
✅ No MCP overhead
✅ Works with any Python environment that has MinerU

Quick Start

Method 1: Using the Direct Tool (Recommended)

# Parse entire PDF
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
  "/path/to/document.pdf" \
  "/path/to/output"

# Parse specific pages
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
  "/path/to/document.pdf" \
  "/path/to/output" \
  --start-page 0 --end-page 2

# Use Apple Silicon optimization
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
  "/path/to/document.pdf" \
  "/path/to/output" \
  --backend vlm-mlx-engine

# Text only (faster)
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
  "/path/to/document.pdf" \
  "/path/to/output" \
  --no-table --no-formula

Method 2: Using MinerU MCP (Temporary Files)

Parse a PDF document

uvx --from mcp-mineru python -c "
import asyncio
from mcp_mineru.server import call_tool

async def parse_pdf():
    result = await call_tool(
        name='parse_pdf',
        arguments={
            'file_path': '/path/to/document.pdf',
            'backend': 'pipeline',
            'formula_enable': True,
            'table_enable': True,
            'sta...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/etoile04/mineru-pdf
Version: —
Commit: 7454f1996e3ed8b5f17184173c52280bea34fd3a
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# MinerU PDF Parser

Parse PDF documents using MinerU MCP to extract structured content including text, tables, and formulas with MLX acceleration on Apple Silicon.

## Installation

### Option 1: Install MinerU MCP (for Claude Code)

```bash
claude mcp add --transport stdio --scope user mineru -- \
  uvx --from mcp-mineru python -m mcp_mineru.server
```

This installs and configures MinerU for all Claude projects. Models are downloaded on first use.

### Option 2: Use Direct Tool (preserves files)

The skill includes a direct parsing tool that saves output to a persistent directory:

```bash
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py <pdf_path> <output_dir> [options]
```

**Advantages:**
- ✅ Files are saved permanently (not auto-deleted)
- ✅ Full control over output location
- ✅ No MCP overhead
- ✅ Works with any Python environment that has MinerU

## Quick Start

### Method 1: Using the Direct Tool (Recommended)

```bash
# Parse entire PDF
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
  "/path/to/document.pdf" \
  "/path/to/output"

# Parse specific pages
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
  "/path/to/document.pdf" \
  "/path/to/output" \
  --start-page 0 --end-page 2

# Use Apple Silicon optimization
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
  "/path/to/document.pdf" \
  "/path/to/output" \
  --backend vlm-mlx-engine

# Text only (faster)
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
  "/path/to/document.pdf" \
  "/path/to/output" \
  --no-table --no-formula
```

### Method 2: Using MinerU MCP (Temporary Files)

### Parse a PDF document

```bash
uvx --from mcp-mineru python -c "
import asyncio
from mcp_mineru.server import call_tool

async def parse_pdf():
    result = await call_tool(
        name='parse_pdf',
        arguments={
            'file_path': '/path/to/document.pdf',
            'backend': 'pipeline',
            'formula_enable': True,
            'table_enable': True,
            'sta...

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