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Document Understanding MCP Server

@jaesharp

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

jaesharp

关于 Document Understanding MCP Server

A document reading, search, and metadata server to provide access to PDFs (and, in the future, other formats) to LLMs via the Model Context Protocol (MCP)

Document Understanding MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "document-understanding-mcp-server": {
      "command": "uv",
      "args": [
        "venv",
        "#",
        "Create",
        ".venv"
      ]
    }
  }
}

Document Understanding MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Document Understanding MCP Server?

A Model Context Protocol (MCP) server that provides tools for extracting text, metadata, layout, tables, and images from PDF documents, with OCR fallback for scanned pages. It is currently in alpha stage and intended for local development and testing only.

How to use Document Understanding MCP Server?

Install Python 3.11+, uv, sync dependencies from pyproject.toml, and install Java (for table extraction) and Tesseract (for OCR). Set the required environment variable DOCUMENT_UNDERSTANDING_BASE_PATH to the directory the server may read PDFs from. The server offers tools that AI models can invoke via the MCP interface.

Key features of Document Understanding MCP Server

  • Extracts text content with automatic OCR fallback for scanned pages
  • Retrieves PDF metadata (author, title, dates)
  • Provides detailed layout info (text blocks, images, drawings with coordinates)
  • Extracts tables from PDF pages using tabula-py
  • Searches for exact text occurrences and returns bounding boxes
  • Detects languages of extracted text content

Use cases of Document Understanding MCP Server

  • Analyze scanned invoices or contracts for data extraction
  • Search for specific terms across large PDF documents
  • Understand page structure and spatial relationships in PDFs
  • Extract tables from financial reports or scientific papers

常见问题

1

Does the server require Java or Tesseract?

Yes, table extraction requires a Java Runtime Environment (JRE). The OCR fallback for scanned pages requires Tesseract OCR. The server will refuse to start if either is missing, unless you use `--allow-no-java` or `--allow-no-tesseract` flags.

2

What is the `DOCUMENT_UNDERSTANDING_BASE_PATH` environment variable?

It is the absolute path to the directory the server is allowed to read PDFs from. The server will not start without this variable, unless the `--allow-any-path` security risk flag is used.

3

Is this server ready for production use?

No. The README explicitly warns it is in alpha stage and should not be deployed in production or exposed to untrusted networks.

4

Can the server handle encrypted PDFs?

Yes, several tools accept an optional `password` argument to open encrypted PDFs.

5

How can I enable experimental tools?

Use the `--enable-experimental` command-line flag at startup to enable tools like `find_nearby_content`.

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