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  1. Home
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  3. MinerU Ecosystem
MinerU Ecosystem logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 3:30:34 PM

MinerU Ecosystem

User RatingsBe the first to rate and review this MCP server!
View Repository206 GitHub StarsTotal stargazers on GitHub for the source repository (206 stars).Visit Website
document-parsingocrmarkdownmcprag

MCP server that converts PDFs, Office files, images, and spreadsheets to Markdown through the MinerU API.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "opendatalab-mineru-ecosystem": {
      "command": "uvx",
      "args": [
        "mineru-open-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”Ž More in Search & Data Extraction

Overview

MinerU-Ecosystem includes a Python MCP server for parsing documents and returning Markdown or structured document content. It supports a no-token Flash mode for quick, smaller files and an authenticated precision mode for larger or higher-fidelity extraction. Use it when an AI agent needs to read PDFs, Office documents, images, or spreadsheets.

Use cases

β€’Convert PDFs into Markdown for agent analysis
β€’Extract text from Word, PowerPoint, spreadsheet, and image files
β€’Parse scanned documents with OCR
β€’Preserve formulas, tables, and complex layouts
β€’Process documents in RAG or knowledge-base workflows

Key features

β€’MCP server for document parsing
β€’Flash mode without an API token
β€’Precision extraction with MinerU API authentication
β€’Markdown and JSON document output
β€’OCR and VLM processing
β€’Support for 109 languages

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MinerU Ecosystem.

Extracted Tool Capabilities
MCP server for document parsing
Flash mode without an API token
Precision extraction with MinerU API authentication
Markdown and JSON document output
OCR and VLM processing
Support for 109 languages

Documentation Overview

MinerU-Ecosystem

The official ecosystem toolkit for MinerU Open API

Empowering developers and AI agents with seamless document parsing capabilities β€” PDF Β· Word Β· PPT Β· Images Β· Web pages β†’ Markdown / JSON Β· VLM+OCR dual engine Β· 109 languages Β· MCP Server Β· LangChain / RAGFlow / Dify / FastGPT native integration.

License MinerU Online

δΈ­ζ–‡ζ–‡ζ‘£


πŸ“– 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 β€” 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 β†’ LaTeX Β· Tables β†’ 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

πŸ—οΈ Repository Structure

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

πŸ”‘ Supported APIs

All components support both API modes:

Comparison🎯 Precision Extract API⚑ Quick Parse API (Agent-Oriented)
Authβœ… Token required❌ Not required (IP rate-limited)
Model Versionspipeline (default) / vlm (recommended) / MinerU-HTMLFixed lightweight pipeline model
File Size Limit≀ 200 MB≀ 10 MB
Page Limit≀ 200 pages≀ 20 pages
Batch Supportβœ… Supported (≀ 200 files)❌ Single file only
Output FormatsMarkdown, JSON, Zip; optional export to DOCX / HTML / LaTeXMarkdown only

🧭 Choose Your Integration Path

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

text
I want to...
β”‚
β”œβ”€β”€ 🌐 Try it instantly, with no install and no code
β”‚   └── Web App β†’ https://mineru.net/OpenSourceTools/Extractor
β”‚
β”œβ”€β”€ πŸ’» Parse documents from the terminal
β”‚   └── CLI β†’ cli/
β”‚       flash-extract: no token, best for quick previews
β”‚       extract: full features, better for production workflows
β”‚
β”œβ”€β”€ 🐍 Integrate it into my Python / Go / TypeScript project
β”‚   └── SDK β†’ sdk/python/ | sdk/go/ | sdk/typescript/
β”‚
β”œβ”€β”€ πŸ€– Enable my AI agent to parse documents
β”‚   β”œβ”€β”€ Call the CLI directly β†’ cli/
β”‚   β”œβ”€β”€ Use natural-language skills (OpenClaw, ZeroClaw, etc.) β†’ skills/
β”‚   └── Use MCP protocol (Cursor, Claude Desktop, Windsurf, etc.) β†’ mcp/
β”‚
β”œβ”€β”€ πŸ“š Build a RAG pipeline / knowledge base
β”‚   β”œβ”€β”€ LangChain Loader β†’ langchain_mineru/
β”‚   └── LlamaIndex Reader β†’ llama-index-readers-mineru/
β”‚       flash mode: zero-token quick start
β”‚       precision mode: OCR, tables, formulas, and higher fidelity

πŸš€ Quick Start

πŸ’» CLI (cli/)

A fast command-line tool for parsing documents directly from your terminal.

Installation

bash
# Linux / macOS
curl -fsSL https://cdn-mineru.openxlab.org.cn/open-api-cli/install.sh | sh
powershell
# Windows (PowerShell)
irm https://cdn-mineru.openxlab.org.cn/open-api-cli/install.ps1 | iex

Flash Extract (no login)

bash
mineru-open-api flash-extract report.pdf

Precision Extract (login required)

bash
# First-time setup
mineru-open-api auth

# Extract to stdout
mineru-open-api extract paper.pdf

# Save all resources (images/tables) to directory
mineru-open-api extract report.pdf -o ./output/

# Export to multiple formats
mineru-open-api extract report.pdf -f docx,latex,html -o ./results/

Web Crawl

bash
mineru-open-api crawl https://www.example.com

Batch Processing

bash
# All PDFs in current directory
mineru-open-api extract *.pdf -o ./results/

# From a file list
mineru-open-api extract --list filelist.txt -o ./results/

🐍 Python SDK

Installation

Terminal
pip install mineru-open-sdk

Flash Extract (no token)

server.ts
from mineru import MinerU

client = MinerU()
result = client.flash_extract("https://cdn-mineru.openxlab.org.cn/demo/example.pdf")
print(result.markdown)

Precision Extract (token required)

server.ts
from mineru import MinerU

client = MinerU("your-api-token")
result = client.extract("https://cdn-mineru.openxlab.org.cn/demo/example.pdf")
print(result.markdown)
print(result.images)  # extracted image list

🐹 Go SDK

Installation

bash
go get github.com/opendatalab/MinerU-Ecosystem/sdk/go@latest

Flash Extract

server.ts
package main

import (
    "context"
    "fmt"
    mineru "github.com/opendatalab/MinerU-Ecosystem/sdk/go"
)

func main() {
    client := mineru.NewFlash()
    result, err := client.FlashExtract(
        context.Background(),
        "https://cdn-mineru.openxlab.org.cn/demo/example.pdf",
    )
    if err != nil {
        panic(err)
    }
    fmt.Println(result.Markdown)
}

Precision Extract

go
client, err := mineru.New("your-api-token")
if err != nil {
    panic(err)
}
result, err := client.Extract(
    context.Background(),
    "https://cdn-mineru.openxlab.org.cn/demo/example.pdf",
)
if err != nil {
    panic(err)
}
fmt.Println(result.Markdown)

Precision Extract with options

go
result, err := client.Extract(ctx, "./paper.pdf",
    mineru.WithModel("vlm"),
    mineru.WithLanguage("en"),
    mineru.WithPages("1-20"),
    mineru.WithExtraFormats("docx"),
    mineru.WithPollTimeout(10*time.Minute),
)
if err != nil {
    panic(err)
}
if err := result.SaveAll("./output"); err != nil {
    panic(err)
}

Batch Processing

go
ch, err := client.ExtractBatch(ctx, []string{"a.pdf", "b.pdf"})
if err != nil {
    panic(err)
}
for result := range ch {
    fmt.Printf("%s: %s\n", result.Filename, result.State)
}

Web Crawling

go
result, err := client.Crawl(ctx, "https://www.example.com")
if err != nil {
    panic(err)
}
fmt.Println(result.Markdown)

🟦 TypeScript / JavaScript SDK

Installation

Terminal
npm install mineru-open-sdk

Flash Extract

server.ts
import { MinerU } from "mineru-open-sdk";

const client = new MinerU();
const result = await client.flashExtract(
  "https://cdn-mineru.openxlab.org.cn/demo/example.pdf"
);
console.log(result.markdown);

Precision Extract

server.ts
import { MinerU } from "mineru-open-sdk";

const client = new MinerU("your-api-token");
const result = await client.extract(
  "https://cdn-mineru.openxlab.org.cn/demo/example.pdf"
);
console.log(result.markdown);
console.log(result.images);

Precision Extract with options

server.ts
import { MinerU, saveAll } from "mineru-open-sdk";

const client = new MinerU("your-api-token");
const result = await client.extract("./paper.pdf", {
  model: "vlm",       // "vlm" | "pipeline" | "html"
  language: "en",
  pages: "1-20",
  extraFormats: ["docx"],
  timeout: 600,
});
await saveAll(result, "./output");

Batch Processing

server.ts
for await (const result of client.extractBatch(["a.pdf", "b.pdf"])) {
  console.log(`${result.filename}: ${result.state}`);
}

Web Crawling

server.ts
const result = await client.crawl("https://www.example.com");
console.log(result.markdown);

πŸ€– 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 β€” Flash mode works out of the box, free, up to 20 pages / 10 MB per file.

Configure: claude_desktop_config.json / .cursor/mcp.json

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

Streamable HTTP mode (web-based MCP clients)

bash
MINERU_API_TOKEN=your_key mineru-open-mcp --transport streamable-http --port 8001
config.json
{
  "mcpServers": {
    "mineru": {
      "type": "streamableHttp",
      "url": "http://127.0.0.1:8001/mcp"
    }
  }
}

Tools exposed via MCP:

ToolDescription
parse_documentsConvert PDF, DOCX, PPTX, images, HTML to Markdown
get_ocr_languagesList all 109 supported OCR languages
clean_logsDelete old server log files (when ENABLE_LOG=true)

Environment Variables:

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
206
Stargazers on the source repository.
Last commit
4mo ago
Most recent push to the default branch.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MinerU Ecosystem

It supports PDFs, Word documents, PowerPoint presentations, images, and spreadsheets.

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Technical Specs & Signals

CategoryπŸ”ŽSearch & Data Extraction
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseApache-2.0
ClientsClaude Desktop, Cursor, Windsurf
Last updatedAug 10, 2026
10/11 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars206
GitHub Star CountTotal stargazers on GitHub representing community popularity (206 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 11, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 22d ago via OSV.dev Β· mineru-open-mcp (PyPI)

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