mcp_documents_reader

MCP (Model Context Protocol) Document Reader - A powerful MCP tool for reading documents in multiple formats, enabling AI agents to truly "read" your documents.

🌐 Language: English | 中文

• Multi-format Support: Supports 4 mainstream document formats: Excel (XLSX/XLS), DOCX, PDF, and TXT
• MCP Protocol: Compliant with MCP standards, can be used as a tool for AI assistants like Trae IDE
• Easy Integration: Simple configuration for immediate use
• Reliable Performance: Successfully tested and running in Trae IDE
• File System Support: Reads documents directly from the file system

User Guide · API Reference · Contributing · Changelog · License

graph TB
    A[AI Assistant / User] -->|Call read_document| B[MCP Document Reader]
    B -->|Detect file type| C{File Type?}
    C -->|.docx| D[DOCX Reader]
    C -->|.pdf| E[PDF Reader]
    C -->|.xlsx/.xls| F[Excel Reader]
    C -->|.txt| G[Text Reader]
    D -->|Extract text| H[Return Content]
    E -->|Extract text| H
    F -->|Extract text| H
    G -->|Extract text| H
    H -->|Text content| A
    
    style A fill:#e1f5ff
    style B fill:#fff4e1
    style C fill:#f0f0f0
    style D fill:#e8f5e9
    style E fill:#e8f5e9
    style F fill:#e8f5e9
    style G fill:#e8f5e9
    style H fill:#fff9c4

pip install mcp-documents-reader

git clone https://github.com/xt765/mcp_documents_reader.git
cd mcp_documents_reader
pip install -e .

This server provides the following tool:

Read any supported document type with a unified interface.

Arguments:

• filename (string, required): Document file path, supports absolute or relative paths.

Add the following to your MCP configuration file:

Option 1: Using PyPI (Recommended)

{
  "mcpServers": {
    "mcp-document-reader": {
      "command": "uvx",
      "args": [
        "mcp-documents-reader"
      ]
    }
  }
}

Option 2: Using GitHub repository

{
  "mcpServers": {
    "mcp-document-reader": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/xt765/mcp_documents_reader",
        "mcp_documents_reader"
      ]
    }
  }
}

Option 3: Using Gitee repository (Faster access in China)

{
  "mcpServers": {
    "mcp-document-reader": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://gitee.com/xt765/mcp_documents_reader",
        "mcp_documents_reader"
      ]
    }
  }
}

After configuration, AI assistants can directly call the following tool:

# Read a DOCX file
read_document(filename="example.docx")

# Read a PDF file
read_document(filename="example.pdf")

# Read an Excel file
read_document(filename="example.xlsx")

# Read a text file
read_document(filename="example.txt")

from mcp_documents_reader import DocumentReaderFactory

# Using factory (recommended)
reader = DocumentReaderFactory.get_reader("document.pdf")
content = reader.read("/path/to/document.pdf")

# Check if format is supported
if DocumentReaderFactory.is_supported("file.xlsx"):
    reader = DocumentReaderFactory.get_reader("file.xlsx")
    content = reader.read("/path/to/file.xlsx")

Read any supported document type.

Parameters:

• mcp >= 1.26.0 - MCP protocol implementation
• python-docx >= 1.2.0 - DOCX file reading
• pypdf >= 6.8.0 - PDF file reading (replaces PyPDF2)
• openpyxl >= 3.1.5 - Excel file reading

• pytest >= 8.0.0 - Testing framework
• pytest-asyncio >= 0.24.0 - Async testing support
• pytest-cov >= 6.0.0 - Coverage reporting
• basedpyright >= 0.28.0 - Type checking
• ruff >= 0.8.0 - Linting and formatting

MIT License

Issues and Pull Requests are welcome!

• MCP Document Converter - MCP document converter supporting multiple format conversions
• Model Context Protocol - Official Model Context Protocol documentation