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Doc MCP Server

by · github.com/jiahuidegit/doc-mcp-server

让AI读懂任何复杂文档 - 解决AI上下文限制问题的通用MCP服务器 | Universal MCP server for AI to understand complex documents

Unclaimed MIT last commit 9 months ago devtools
InstallView source
53Fair

Scored 13 days ago · breakdown

About Doc MCP Server

Doc MCP Server is an MCP server published by jiahuidegit in the Developer Tools category: 让AI读懂任何复杂文档 - 解决AI上下文限制问题的通用MCP服务器 | Universal MCP server for AI to understand complex documents.

The repository has 1 stars and 0 forks, with the last commit 9 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/jiahuidegit/doc-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (8)

analyze_documentAnalyze document structure and generate metadata

Parameters not published.

export_structureExport document structure

Parameters not published.

get_structureGet cached document structure

Parameters not published.

list_fieldsList all fields

Parameters not published.

list_sectionsList all sections

Parameters not published.

read_fieldRead specific field value

Parameters not published.

read_sectionRead entire section data

Parameters not published.

write_fieldWrite field value (Excel only)

Parameters not published.

Ask AI

✦

Ask AI about Doc MCP Server

Powered by Claude · Grounded in docs

I know everything about Doc MCP Server. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 6 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.1.0v0.1.0 - 初始发布 🎉 · 11 Jan 2026🎉 Doc MCP Server v0.1.0 让AI读懂任何复杂文档的通用MCP服务器首次发布！ ✨ 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 精确字段定位: 270个字段映射，支持坐标精确定位 8个MCP工具: 完整的文档操作API 高效性能: Token消耗降低87%，成功率90%+ 📊 支持格式 ✅ Excel (.xlsx, .xls) - 完整支持 🚧 PDF - 开发中 🚧 Word - 开发中 🚀 快速开始 \`\`\`bash 安装…

README

📄 Document Analyzer MCP Server

English | 简体中文

PyPI version MCP

Make AI understand complex documents - MCP server solving AI context limitations

🎯 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")

🛠️ Available Tools

Tool Description
analyze_document Analyze document structure and generate metadata
get_structure Get cached document structure
read_field Read specific field value
read_section Read entire section data
write_field Write field value (Excel only)
list_sections List all sections
list_fields List all fields
export_structure Export document structure

🎯 Why Use This?

Problem: Large Excel files consume massive tokens when directly read by AI

  • ❌ Traditional: Read entire 323-row Excel → 15000+ tokens → Often fails
  • ✅ Using MCP: Structured reading → 2000 tokens → 90%+ success rate

Performance Improvements:

  • 🚀 Token consumption reduced by 87% (15000 → 2000)
  • ✅ Success rate improved from 30% to 90%+
  • ⚡ Handles 323 rows × 24 columns with 4249 merged cells

🤝 Contributing & Feedback

📄 License

MIT License - see LICENSE for details

Made with ❤️ by Yang Jiahui

README fetched from the repository 6 days ago. The original is authoritative.

Questions

About Doc MCP Server

How do I install Doc MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Doc MCP Server safe to use with an AI agent?

Its trust score is 53 out of 100 (fair). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Doc MCP Server still maintained?

The last commit was 9 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.