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📄 Document Analyzer MCP Server

PyPI version License: MIT Python 3.10+ MCP

让 AI 读懂任何复杂文档 - 解决 AI 上下文限制问题的 MCP 服务器 Make AI understand complex documents - MCP server solving AI context limitations


🌍 语言 / Language


中文文档

🎯 核心功能

  • 智能文档分析 - 自动识别章节结构、处理合并单元格
  • 多格式支持 - Excel (.xlsx, .xls) | PDF/Word 开发中
  • 精确字段定位 - 字段映射表 + 章节级别读取
  • 高效性能 - 结构化缓存 + 按需加载

🚀 快速开始

安装

macOS / Linux (推荐使用 pipx)

# 安装 pipx
brew install pipx  # macOS
# 或 sudo apt install pipx  # Ubuntu/Debian

# 安装 doc-mcp-server
pipx install doc-mcp-server

Windows

pip install doc-mcp-server

更多安装方式请查看 完整安装教程

配置 Claude Code

~/.claude.json 或项目根目录的配置文件中添加:

{
  "mcpServers": {
    "document-analyzer": {
      "command": "doc-mcp-server"
    }
  }
}

详细配置请查看 快速开始指南

📚 完整文档

💡 使用示例

# 1. 分析文档结构
analyze_document(file_path="/path/to/document.xlsx")

# 2. 读取特定章节
read_section(file_path="/path/to/document.xlsx", section_name="第一部分")

# 3. 读取单个字段
read_field(file_path="/path/to/document.xlsx", field_key="第一部分_企业名称")

🤝 贡献与反馈


English Documentation

🎯 Key Features

  • Smart Document Analysis - Auto-detect sections, handle merged cells
  • Multi-format Support - Excel (.xlsx, .xls) | PDF/Word in development
  • Precise Field Mapping - Field mapping table + section-level reading
  • High Performance - Structured caching + lazy loading

🚀 Quick Start

Installation

macOS / Linux (Recommended with pipx)

# Install pipx
brew install pipx  # macOS
# or sudo apt install pipx  # Ubuntu/Debian

# Install doc-mcp-server
pipx install doc-mcp-server

Windows

pip install doc-mcp-server

For more installation options, see Full Installation Guide

Configure Claude Code

Add to ~/.claude.json or your project's config file:

{
  "mcpServers": {
    "document-analyzer": {
      "command": "doc-mcp-server"
    }
  }
}

For detailed configuration, see Quick Start Guide

📚 Full Documentation

💡 Usage Example

# 1. Analyze document structure
analyze_document(file_path="/path/to/document.xlsx")

# 2. Read specific section
read_section(file_path="/path/to/document.xlsx", section_name="Section 1")

# 3. Read single field
read_field(file_path="/path/to/document.xlsx", field_key="Section1_CompanyName")

🤝 Contributing & Feedback


📄 License

MIT License - see LICENSE for details


Made with ❤️ by Yang Jiahui

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