Is io.github.opendatalab/mineru-open-mcp safe to use?

io.github.opendatalab/mineru-open-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.opendatalab/mineru-open-mcp?

io.github.opendatalab/mineru-open-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

Is io.github.opendatalab/mineru-open-mcp actively maintained?

io.github.opendatalab/mineru-open-mcp is actively maintained — last commit was 0 days ago. It has 51 GitHub stars.

io.github.opendatalab/mineru-open-mcp

Parse PDFs, images, doc, docx, ppt, pptx, xls, xlsx, html into Markdown using MinerU API.

ActiveNot tested

Writing

★ 51npm PyPI GitHub

55CNo CVEsactive

Quick Install

{
  "mcpServers": {
    "mineru": {
      "env": {
        "MINERU_API_TOKEN": "your_key_here"
      },
      "args": [
        "mineru-open-mcp"
      ],
      "command": "uvx"
    }
  }
}

Setup guide

Are you the author?

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-opendatalab-mineru-open-mcp)](https://mcppedia.org/s/io-github-opendatalab-mineru-open-mcp)

Should you use this server?

The official ecosystem toolkit for MinerU Open API

✓

Is it safe?

No known CVEs for mineru-open-sdk.

No authentication — any process on your machine can connect.

License not specified.

✓

Is it maintained?

Last commit 0 days ago. 51 stars.

Will it work with my client?

Transport: stdio, http. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

README

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.

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

MinerU-Ecosystem/
├── cli/                  # Command-line tool for document parsing
├── sdk/                  # Multi-language SDKs
│   ├── python/           #   Python SDK
│   ├── go/               #   Go SDK
│   └── typescript/       #   TypeScript SDK
├── langchain_mineru/     # LangChain document loader integration
├── llama-index-readers-mineru/     # LlamaIndex document reader integration
├── mcp/                  # Model Context Protocol server (Python)
└── skills/               # AI agent skills (Claude Code, OpenClaw, etc.)

🔑 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:

I want to...
│
├── 🌐 Try it instantly, with no install and no code
│   └── Web App → https://mineru.net/OpenSourceTools/Extractor
│
├── 💻 Parse documents from the terminal
│   └── CLI → cli/
│       flash-extract: no token, best for quick previews
│       extract: full features, better for production workflows
│
├── 🐍 Integrate it into my Python / Go / TypeScript project
│   └── SDK → sdk/python/ | sdk/go/ | sdk/typescript/
│
├── 🤖 Enable my AI agent to parse documents
│   ├── Call the CLI directly → cli/
│   ├── Use natural-language skills (OpenClaw, ZeroClaw, etc.) → skills/
│   └── Use MCP protocol (Cursor, Claude Desktop, Windsurf,

... [View full README on GitHub](https://github.com/opendatalab/MinerU-Ecosystem#readme)

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'mineru-open-sdk' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Score Breakdown

MCPpedia Score

Click each category to see evidence

55C

Last scored 8h ago

How we score →

Security

20/30

No known vulnerabilities.

✓

Known CVEs — No known CVEs for mineru-open-sdkcheck OSV.dev

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

✓

Tool stability — Tool definitions stable

○

Dependency health — found on deps.dev, recently updated

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.opendatalab/mineru-open-mcp safe to use?: io.github.opendatalab/mineru-open-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.opendatalab/mineru-open-mcp?: io.github.opendatalab/mineru-open-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.opendatalab/mineru-open-mcp?: io.github.opendatalab/mineru-open-mcp is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio and http transport.
Is io.github.opendatalab/mineru-open-mcp actively maintained?: io.github.opendatalab/mineru-open-mcp is actively maintained — last commit was 0 days ago. It has 51 GitHub stars.

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Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?