技能潮 SkillTide 提交收录
官方说明7 个来源MCP 服务8 天前
opendatalab/MinerU-Ecosystem

opendatalab/MinerU-Ecosystem

The official ecosystem toolkit for MinerU Open API** Empowering developers and AI agents with seamless document parsing capabilities — PDF · Word · PPT · Images · Web pages → Markdown / JSON · VLM+OCR dual engine · 109 languages · MCP Server · LangChain / RAGFlow / Dify / FastGPT native integration.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add mineru-ecosystem -- npx -y mineru-ecosystem
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
226 ★ · opendatalab/MinerU-Ecosystem · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 226 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 opendatalab/MinerU-Ecosystem;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

MinerU-Ecosystem

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**The official ecosystem toolkit for MinerU Open API**
Empowering developers and AI agents with seamless document parsing capabilities — PDF · Word · PPT · Images · Web pages → Markdown / JSON · VLM+OCR dual engine · 109 languages · MCP Server · LangChain / RAGFlow / Dify / FastGPT native integration.
中文文档
---
📖 Overview
**MinerU-Ecosystem** provides a full suite of tools, SDKs, and integrations built on top of the MinerU Open API. Whether you're building production pipelines, integrating with LangChain for RAG, or enabling AI agents to parse documents on the fly — this repository has you covered.
MinerU is an open-source, high-accuracy document parsing engine that converts unstructured documents (PDFs, images, Office files, etc.) into machine-readable Markdown and JSON, purpose-built for LLM pre-training, RAG, and agentic workflows.
**Core capabilities:**
- Formulas → LaTeX · Tables → HTML, accurate complex layout reconstruction
- Supports scanned docs, handwriting, multi-column layouts, cross-page table merging
- Output follows human reading order with automatic header/footer removal
- VLM + OCR dual engine, 109-language OCR recognition
---
🏗️ Repository Structure
---
🔑 Supported APIs
All components support both API modes:
| Comparison | 🎯 Precision Extract API | ⚡ Quick Parse API (Agent-Oriented) |
| --------------- | ----------------------------------------------------------- | ----------------------------------- |
| Auth | ✅ Token required | ❌ Not required (IP rate-limited) |
| Model Versions | pipeline (default) / vlm (recommended) / MinerU-HTML | Fixed lightweight pipeline model |
| File Size Limit | ≤ 200 MB | ≤ 10 MB |
| Page Limit | ≤ 200 pages | ≤ 20 pages |
| Batch Support | ✅ Supported (≤ 200 files) | ❌ Single file only |
| Output Formats | Markdown, JSON, Zip; optional export to DOCX / HTML / LaTeX | Markdown only |
🧭 Choose Your Integration Path
Not sure where to start? Pick the path that matches your use case:
---
🚀 Quick Start
💻 CLI (cli/)
A fast command-line tool for parsing documents directly from your terminal.
Installation
**Flash Extract (no login)**
**Precision Extract (login required)**
**Web Crawl**
**Batch Processing**
---
🐍 Python SDK
Installation
**Flash Extract (no token)**
**Precision Extract (token required)**
---
🐹 Go SDK
Installation
**Flash Extract**
**Precision Extract**
**Precision Extract with options**
**Batch Processing**
**Web Crawling**
---
🟦 TypeScript / JavaScript SDK
Installation
**Flash Extract**
**Precision Extract**
**Precision Extract with options**
**Batch Processing**
**Web Crawling**
---
🤖 Use with Claude / Cursor (MCP Server)
MinerU provides an official MCP Server allowing Claude Desktop, Cursor, Windsurf, and any MCP-compatible AI client to parse documents as a native tool.
> No API key needed — Flash mode works out of the box, free, up to 20 pages / 10 MB per file.
**Configure: claude_desktop_config.json / .cursor/mcp.json**
**Streamable HTTP mode (web-based MCP clients)**
**Tools exposed via MCP:**
| Tool | Description |
|---|---|
| parse_documents | Convert PDF, DOCX, PPTX, images, HTML to Markdown |
| get_ocr_languages | List all 109 supported OCR languages |
| clean_logs | Delete old server log files (when ENABLE_LOG=true) |
**Environment Variables:**
| Variable | Description | Default |
|---|---|---|
| MINERU_API_TOKEN | MinerU cloud API token | — |
来源
awesome · https://github.com/opendatalab/MinerU-Ecosystem/tree/main/mcp
按领域浏览
MCP 服务
Traction
226 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引