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MinerU Open MCP server

by opendatalab·io.github.opendatalab/mineru-open-mcp·v1.0.20·217 stars
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Parse PDFs, images, doc, docx, ppt, pptx, xls, xlsx, html into Markdown using MinerU API.

A85/100grade A
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Safety scan
A85/100

full report

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217 stars1.5k downloads/wk

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MinerU Open MCP tools (2)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • get_ocr_languages

    List all OCR languages supported by MinerU.

  • parse_documents

    High-quality document parsing: converts PDF, Word, PPT, Excel (in Flash Mode), and images to Markdown.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan9 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 5 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install MinerU Open MCP in Claude Code, Cursor or VS Code

claude mcp add mineru-open-mcp -- uvx mineru-open-mcp
Add to Cursor

What the publisher says

From the MinerU Open MCP repository's README, as published. We do not edit it. Read it on GitHub

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:

🧭 Choose Your Integration Path

Not sure where to start? Pick the path that matches your use case:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

MinerU Open MCP: common questions

Is MinerU Open MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the MinerU Open MCP safety report
How do I install MinerU Open MCP?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does MinerU Open MCP need an API key?
Yes. The registry entry asks for MINERU_API_TOKEN.
Is MinerU Open MCP maintained?
The last commit was 6 days ago (2026-09-22). The latest release is v1.0.20.

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