Mineru MCP is a free, open-source AI agent skill. MCP server for MinerU document parsing API — extract text, tables, and formulas from PDFs, DOCs, and images. - VLM model — 90%+ accuracy for complex documents - Pipeline model — Fast processing for simple documents - Local file upload — Upload files from disk for batch parsing - Batch processing — Parse up to 200 documents at once - Download & rename — Extract markdown with original filenames - Pa

How do I install Mineru MCP?

Install Mineru MCP with a single command: npx mdskills install linxule/mineru-mcp. This downloads the skill files into your project and your AI agent picks them up automatically.

What platforms support Mineru MCP?

Mineru MCP works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.

mineru-mcp

Name: Mineru MCP: AI Agent Skill
Rating: 8 (1 reviews)
Author: linxule

MCP server for MinerU document parsing API — extract text, tables, and formulas from PDFs, DOCs, and images.

Features

VLM model — 90%+ accuracy for complex documents
Pipeline model — Fast processing for simple documents
Local file upload — Upload files from disk for batch parsing
Batch processing — Parse up to 200 documents at once
Download & rename — Extract markdown with original filenames
Page ranges — Extract specific pages only
109 language OCR support
Optimized for Claude Code — 73% token reduction vs alternatives

Tools

Tool	Description
`mineru_parse`	Parse a document URL
`mineru_status`	Check task progress, get download URL
`mineru_batch`	Parse multiple URLs (max 200)
`mineru_batch_status`	Get batch results with pagination
`mineru_upload_batch`	Upload local files for batch parsing
`mineru_download_results`	Download results as named markdown files

Installation

Requires Node.js 18+ and a MinerU API key.

CLI Install (one-liner)

# Claude Code
claude mcp add mineru-mcp -e MINERU_API_KEY=your-api-key -- npx -y mineru-mcp

# Codex CLI (OpenAI)
codex mcp add mineru --env MINERU_API_KEY=your-api-key -- npx -y mineru-mcp

# Gemini CLI (Google)
gemini mcp add -e MINERU_API_KEY=your-api-key mineru npx -y mineru-mcp

Claude Desktop

Add to your claude_desktop_config.json:

OS	Config path
macOS	`~/Library/Application Support/Claude/claude_desktop_config.json`
Windows	`%APPDATA%\Claude\claude_desktop_config.json`
Linux	`~/.config/Claude/claude_desktop_config.json`

{
  "mcpServers": {
    "mineru": {
      "command": "npx",
      "args": ["-y", "mineru-mcp"],
      "env": {
        "MINERU_API_KEY": "your-api-key"
      }
    }
  }
}

VS Code

Add to .vscode/mcp.json (workspace) or open Command Palette > MCP: Open User Configuration (global):

{
  "servers": {
    "mineru": {
      "command": "npx",
      "args": ["-y", "mineru-mcp"],
      "env": {
        "MINERU_API_KEY": "your-api-key"
      }
    }
  }
}

Note: VS Code uses "servers" as the top-level key, not "mcpServers". Other VS Code forks (Trae, Void, PearAI, etc.) typically use this same format.

Cursor

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):

{
  "mcpServers": {
    "mineru": {
      "command": "npx",
      "args": ["-y", "mineru-mcp"],
      "env": {
        "MINERU_API_KEY": "your-api-key"
      }
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json (Windows: %USERPROFILE%\.codeium\windsurf\mcp_config.json):

{
  "mcpServers": {
    "mineru": {
      "command": "npx",
      "args": ["-y", "mineru-mcp"],
      "env": {
        "MINERU_API_KEY": "your-api-key"
      }
    }
  }
}

Cline

Open MCP Servers icon in Cline panel > Configure > Advanced MCP Settings, then add:

{
  "mcpServers": {
    "mineru": {
      "command": "npx",
      "args": ["-y", "mineru-mcp"],
      "env": {
        "MINERU_API_KEY": "your-api-key"
      }
    }
  }
}

Cherry Studio

In Settings > MCP Servers > Add Server, set Type to STDIO, Command to npx, Args to -y mineru-mcp, and add environment variable MINERU_API_KEY. Or paste in JSON/Code mode:

{
  "mineru": {
    "name": "MinerU",
    "command": "npx",
    "args": ["-y", "mineru-mcp"],
    "env": {
      "MINERU_API_KEY": "your-api-key"
    },
    "isActive": true
  }
}

Witsy

In Settings > MCP Servers, add a new server with Type: stdio, Command: npx, Args: -y mineru-mcp, and set environment variable MINERU_API_KEY to your API key.

Codex CLI (TOML config)

Alternatively, edit ~/.codex/config.toml directly:

[mcp_servers.mineru]
command = "npx"
args = ["-y", "mineru-mcp"]

[mcp_servers.mineru.env]
MINERU_API_KEY = "your-api-key"

Gemini CLI (JSON config)

Alternatively, edit ~/.gemini/settings.json directly:

{
  "mcpServers": {
    "mineru": {
      "command": "npx",
      "args": ["-y", "mineru-mcp"],
      "env": {
        "MINERU_API_KEY": "your-api-key"
      }
    }
  }
}

Windows

On Windows, npx requires a shell wrapper. Replace "command": "npx" with:

{
  "command": "cmd",
  "args": ["/c", "npx", "-y", "mineru-mcp"],
  "env": {
    "MINERU_API_KEY": "your-api-key"
  }
}

For CLI tools on Windows:

claude mcp add mineru-mcp -e MINERU_API_KEY=your-api-key -- cmd /c npx -y mineru-mcp
codex mcp add mineru --env MINERU_API_KEY=your-api-key -- cmd /c npx -y mineru-mcp

ChatGPT

ChatGPT only supports remote MCP servers over HTTPS — local stdio servers like this one are not directly supported. You would need to deploy behind a public URL with HTTP transport.

Configuration

Environment Variable	Default	Description
`MINERU_API_KEY`	(required)	Your MinerU API Bearer token
`MINERU_BASE_URL`	`https://mineru.net/api/v4`	API base URL
`MINERU_DEFAULT_MODEL`	`pipeline`	Default model: `pipeline` or `vlm`

Get your API key at mineru.net

Usage

Parse a single URL

mineru_parse({
  url: "https://example.com/document.pdf",
  model: "vlm",        // optional: "pipeline" (default) or "vlm" (90% accuracy)
  pages: "1-10,15",    // optional: page ranges
  ocr: true,           // optional: enable OCR (pipeline only)
  formula: true,       // optional: formula recognition
  table: true,         // optional: table recognition
  language: "en",      // optional: language code
  formats: ["html"]    // optional: extra export formats
})

Check task progress

mineru_status({
  task_id: "abc-123",
  format: "concise"    // optional: "concise" (default) or "detailed"
})

Concise output: done | abc-123 | https://cdn-mineru.../result.zip

Batch parse URLs

mineru_batch({
  urls: ["https://example.com/doc1.pdf", "https://example.com/doc2.pdf"],
  model: "vlm"
})

Check batch progress

mineru_batch_status({
  batch_id: "batch-123",
  limit: 10,           // optional: max results (default: 10)
  offset: 0,           // optional: skip first N results
  format: "concise"    // optional: "concise" or "detailed"
})

Upload local files

mineru_upload_batch({
  directory: "/path/to/pdfs",  // scan directory for supported files
  // OR
  files: ["/path/to/doc1.pdf", "/path/to/doc2.pdf"],  // explicit file list
  model: "vlm",        // optional
  formula: true,       // optional
  table: true,         // optional
  language: "en",      // optional
  formats: ["html"]    // optional
})

Returns batch_id for tracking. Each file's original name is preserved via data_id (spaces become underscores).

Download results as markdown

mineru_download_results({
  batch_id: "batch-123",       // from mineru_upload_batch or mineru_batch
  output_dir: "/path/to/output",
  overwrite: false             // optional: overwrite existing files
})

Output filenames are derived from data_id (e.g., my_paper_title.md). Spaces in original filenames become underscores.

Typical local file workflow

mineru_upload_batch → mineru_batch_status (poll) → mineru_download_results

Supported Formats

PDF, DOC, DOCX, PPT, PPTX
PNG, JPG, JPEG

Limits

Single file: 200MB max, 600 pages max
Daily quota: 2000 pages at high priority
Batch: max 200 files per request

License

MIT

Mineru MCP