Mineru MCP
M

Mineru MCP

The MinerU document parsing MCP server supports the extraction of text, tables, and formulas from formats such as PDFs, DOCs, and images. It provides a high-precision VLM model and a fast pipeline model, and supports batch processing and local file uploads.
2 points
9.6K

What is the MinerU MCP Server?

The MinerU MCP server is a document parsing tool that allows AI assistants (such as Claude, ChatGPT, etc.) to directly extract structured information from various document formats. Whether it's a PDF report, a Word document, or a scanned image, MinerU can accurately identify the text, tables, and mathematical formulas in it, enabling AI to understand the document content and answer related questions.

How to use the MinerU MCP Server?

Using MinerU is very simple: First, obtain an API key and configure it in your AI tool. Then, you can let the AI assistant parse the document through simple commands. You can provide the URL link of the document or directly upload a local file. After the parsing is completed, the AI can converse with you based on the document content or save the extracted content in a readable Markdown format.

Applicable scenarios

MinerU is particularly suitable for scenarios that require processing a large number of documents: paper analysis in academic research, batch processing of corporate documents, content extraction of legal contracts, data organization of financial statements, information retrieval of technical manuals, etc. Whether it's a single document or batch processing of hundreds of documents, MinerU can efficiently complete the task.

Main Features

High-precision document parsing
Using an advanced VLM model, the parsing accuracy for complex documents exceeds 90%, and it can correctly handle complex formats such as multi-column layouts and mixed content.
Batch processing capability
It can process up to 200 documents at a time, supporting both URL lists and local file uploads, greatly improving work efficiency.
Multi-format support
Supports multiple document and image formats such as PDF, DOC, DOCX, PPT, PPTX, PNG, and JPG, covering most common file types.
Intelligent content recognition
It can not only extract ordinary text but also identify special content such as table structures and mathematical formulas, maintaining the original layout and semantics of the document.
Multi-language OCR
Supports text recognition in 109 languages, including major languages such as Chinese, English, Japanese, and Korean, suitable for international document processing.
Flexible output options
Supports extraction by page range, selection of different parsing models, specification of output formats, etc., meeting the personalized needs of different scenarios.
Advantages
High-precision parsing: The VLM model has an identification accuracy of over 90% for complex documents
High processing efficiency: Supports batch processing, and can process up to 200 documents simultaneously
Low usage cost: Compared with other solutions, it can reduce token consumption by 73%
Simple configuration: Supports multiple AI tools, and the installation and configuration process is simple
Comprehensive functions: Supports the recognition of special content such as tables and formulas
Limitations
Requires an API key: You must register for the MinerU service to obtain an API key
File size limit: A single file cannot exceed 200MB
Page number limit: A single document can have a maximum of 600 pages
ChatGPT limitation: ChatGPT does not support local MCP servers and requires additional deployment
Daily quota limit: High-priority processing is limited to a maximum of 2000 pages per day

How to Use

Obtain an API key
Visit the MinerU official website (mineru.net) to register an account and obtain an API key. This is a necessary condition for using the service.
Configure it in the AI tool
According to the AI tool you are using (Claude Desktop, VS Code, Cursor, etc.), add the MinerU MCP server to the configuration file.
Start parsing the document
Use the tool commands provided by MinerU in the AI assistant, and provide the document URL or upload a local file for parsing.
View and process the results
After the parsing is completed, the AI assistant can answer questions based on the extracted content or save the results as a Markdown file for subsequent use.

Usage Examples

Academic paper analysis
Researchers need to quickly read multiple academic papers and extract key information. Use MinerU to batch process PDF papers, extract the abstract, methods, and conclusion parts, and then let the AI assistant generate a summary report.
Corporate financial statement processing
Financial analysts need to extract table data from multiple quarters of PDF financial statements for analysis. Use MinerU's table recognition function to accurately extract financial data tables.
Legal contract review
Legal professionals need to quickly review a large number of contract documents to find specific clauses and risk points. Use MinerU to parse the contract documents and then let the AI assistant identify the key clauses.
Preparation for technical document translation
You need to translate a technical manual into multiple languages. First, use MinerU to extract all the text content from the document, including table and formula annotations.

Frequently Asked Questions

Is the MinerU MCP server free?
Which file formats are supported?
What is the parsing accuracy?
Can it be used in ChatGPT?
What are the limitations for processing large documents?
Does it support Chinese documents?
How to batch process local files?
How to save the parsing results?

Related Resources

MinerU Official Website
Register an account, obtain an API key, view documentation and pricing information
MinerU GitHub Repository
The open-source version of MinerU, including technical implementation and development documentation
MCP Protocol Specification
The official specification and documentation of the Model Context Protocol
Claude Desktop Configuration Guide
A detailed guide on how to configure the MCP server in Claude Desktop

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mineru": {
      "command": "npx",
      "args": ["-y", "mineru-mcp"],
      "env": {
        "MINERU_API_KEY": "your-api-key"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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