xmind-mcp 1.3.3

XMind MCP Server - 思维导图创建/分析/转换（别名兼容、递归列举）

🧠 XMind AI MCP Intelligent Mind Mapping Tool

A powerful tool for converting multiple file formats to XMind mind maps with AI-powered analysis and MCP server integration.

Changelog

• 1.3.1: Fix MCP analyze_mind_map compatibility with new read structure (no 'data.structure').

🚀 Core Features

1. Universal File Converter

• Multi-Format Support: Convert Markdown, Text, HTML, Word, Excel to XMind
• Smart Detection: Auto-identify file types and structure
• Batch Processing: Convert multiple files with one command
• Flexible Output: Custom output paths and naming patterns

2. Standalone Mode

• Direct Conversion: Convert files without server setup
• Command Line Interface: Simple command format for quick conversion
• Format Options: Force specific format or auto-detect
• Progress Feedback: Real-time conversion status

3. MCP Server Mode

• RESTful API: Full HTTP API for all conversion operations
• IDE Integration: Seamless integration with Trae and other IDEs
• Real-time Processing: Instant conversion via API calls
• Health Monitoring: Server status and performance metrics

4. AI-Powered Analysis

• Structure Analysis: Intelligent mind map structure optimization
• Content Suggestions: AI-generated topic recommendations
• Quality Metrics: Comprehensive mind map quality assessment
• Format Validation: Ensure XMind compatibility and standards

📁 Project Structure

XmindMcp/
├── configs/                      # MCP configuration files
├── docs/                         # Documentation and guides
├── examples/                     # Sample input files
├── output/                       # Converted XMind files
├── tests/                        # Test suite
├── universal_xmind_converter.py  # Core converter engine
├── xmind_mcp_server.py           # MCP server implementation
├── validate_xmind_structure.py   # XMind validation tools
└── xmind_ai_extensions.py        # AI analysis features

🔄 Code Call Relationship Diagram

graph TD
    %% User Interface Layer
    User([User]) -->|CLI| Converter[universal_xmind_converter.py]
    User -->|API| MCPServer[xmind_mcp_server.py]
    User -->|Test| TestRunner[tests/run_all_tests.py]
    
    %% Server Layer
    MCPServer -->|HTTP API| CoreEngine[xmind_core_engine.py]
    MCPServer -->|API Calls| APIEndpoints[RESTful API]
    APIEndpoints -->|Process| Converter[universal_xmind_converter.py]
    APIEndpoints -->|Validate| Validator[validate_xmind_structure.py]
    
    %% Core Engine Layer
    MCPServer -->|AI Features| AIExt[xmind_ai_extensions.py]
    Converter -->|Parse| Parsers[ParserFactory]
    Converter -->|Generate| XMindGen[XMind Generator]
    
    %% Tool Layer
    Parsers -->|Markdown| MDParser[markdown_parser.py]
    Parsers -->|Text| TParser[text_parser.py]
    Parsers -->|HTML| HParser[html_parser.py]
    Parsers -->|Word| WParser[word_parser.py]
    Parsers -->|Excel| EParser[excel_parser.py]
    Parsers -->|XMind| XParser[xmind_parser.py]
    Validator -->|Read| XMindReader[XMindValidator]
    
    %% File System
    Converter -->|Read| Examples[examples/]
    Converter -->|Write| Output[output/]
    Converter -->|Read| Examples
    Converter -->|Write| Output
    
    %% Style Definitions
    classDef userLayer fill:#e1f5fe,stroke:#01579b,stroke-width:2px
    classDef serverLayer fill:#f3e5f5,stroke:#4a148c,stroke-width:2px
    classDef engineLayer fill:#e8f5e8,stroke:#1b5e20,stroke-width:2px
    classDef toolLayer fill:#fff3e0,stroke:#e65100,stroke-width:2px
    classDef fileLayer fill:#fce4ec,stroke:#880e4f,stroke-width:2px
    
    class User,TestSuite,BatchConvert userLayer
    class MCPServer serverLayer
    class SimpleEngine,AIExt,Converter,Validator engineLayer
    class Parsers,XMindCreator,XMindReader toolLayer
    class Examples,Output fileLayer

Call Relationship Description

Layer	File	Main Function	Dependencies
User Interface	complete_test_suite.py	Complete test suite	Calls MCP server API
	batch_convert_demo.py	Batch conversion demo	Direct converter call
Server	xmind_mcp_server.py	MCP server launcher	Creates engine instances
Core Engine	xmind_core_engine.py	XMind core engine	Calls converter and validator
	xmind_ai_extensions.py	AI extension features	Provides intelligent suggestions
Conversion Tool	universal_xmind_converter.py	Universal format converter	Creates parser factory
Validation Tool	validate_xmind_structure.py	Structure validator	Reads and validates XMind files

Data Flow

1. Input Flow: examples/ → ParserFactory → create_xmind_file → output/
2. Validation Flow: output/ → XMindValidator → Structure Analysis → Quality Report
3. AI Flow: User Input → AIExtensions → Intelligent Suggestions → Mind Map Optimization

🔧 Quick Start

⚡ 超快速启动（推荐）

# 一键启动，自动安装依赖
python quick_start.py

🐳 Docker启动

# 使用docker-compose
docker-compose up

📦 UVX安装启动（推荐）

# 安装uv（如果尚未安装）
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

# 通过uvx直接运行（自动安装依赖）
uvx xmind-mcp --mode fastmcp

# 查看版本
uvx xmind-mcp --version

# 查看帮助
uvx xmind-mcp --help

本地开发模式

# 在项目目录下运行
uvx --from . xmind-mcp --mode fastmcp

本地开发安装

# 克隆项目
git clone https://github.com/Master-Frank/XmindMcp.git
cd XmindMcp

# 构建包
python -m build

# 本地安装
uvx --from . xmind-mcp

📦 传统安装启动（已废弃）

# 安装依赖（不推荐）
# pip install beautifulsoup4 python-docx openpyxl

# 运行服务器（不推荐）
# python xmind_mcp_server.py

2. File Conversion (Standalone Mode)

Single File Conversion

# Basic conversion (auto-detect format)
python universal_xmind_converter.py <input_file>

# Specify output path
python universal_xmind_converter.py <input_file> --output <output_path>

# Force specific format
python universal_xmind_converter.py <input_file> --format markdown

Batch Conversion

# Convert all files in a directory
python universal_xmind_converter.py <input_directory> --batch

# Convert specific file types
python universal_xmind_converter.py <directory> --batch --format markdown,html,txt

Examples

# Convert Markdown file
python universal_xmind_converter.py examples/test_markdown.md

# Convert with custom output
python universal_xmind_converter.py examples/test_document.docx --output my_mind_map.xmind

# Batch convert all text files
python universal_xmind_converter.py examples/ --batch

3. MCP Server Mode

Start Server

# Start with default port (8080)
python xmind_mcp_server.py

# Custom port
python xmind_mcp_server.py --port 9000

# Debug mode
python xmind_mcp_server.py --debug

🚄 Railway Cloud Deployment (Recommended)

One-click deploy to Railway:

Manual Deployment:

1. Visit Railway
2. Connect your GitHub repository
3. Railway auto-detects and deploys your project
4. Access your MCP server via the provided URL

Features:

• ✅ Native WebSocket support for MCP protocol
• ✅ Continuous 24/7 operation (no sleep mode)
• ✅ Automatic HTTPS and SSL certificates
• ✅ GitHub integration with auto-deployment
• ✅ $5/month free tier

📖 Full Railway Deployment Guide

🎨 Render Cloud Deployment

One-click deploy to Render:

Manual Deployment:

1. Visit Render
2. Connect your GitHub repository
3. Configure Docker deployment settings
4. Deploy and access your MCP server

Features:

• ✅ Professional web hosting platform
• ✅ Automatic HTTPS and SSL certificates
• ✅ GitHub integration with auto-deployment
• ✅ 750 hours/month free tier (24/7 capable)
• ✅ Professional monitoring and logs

📖 Full Render Deployment Guide

API Endpoints

Once server is running, available endpoints:

• POST /tools/convert_to_xmind - Convert files to XMind
• POST /tools/read_xmind - Read XMind file content
• POST /tools/analyze_mind_map - Analyze mind map structure
• POST /tools/create_mind_map - Create new mind map
• POST /tools/list_xmind_files - List XMind files
• GET /health - Health check

Usage Examples

# Convert via API (using curl)
curl -X POST "http://localhost:8080/tools/convert_to_xmind" \
  -H "Content-Type: application/json" \
  -d '{"source_filepath": "examples/test.md", "output_filepath": "output/result.xmind"}'

# Read XMind file
curl -X POST "http://localhost:8080/tools/read_xmind" \
  -H "Content-Type: application/json" \
  -d '{"filepath": "output/result.xmind"}'

4. IDE Integration (Trae MCP)

标准UVX配置（推荐）

{
  "mcpServers": {
    "xmind-mcp": {
      "command": "uvx",
      "args": ["xmind-mcp"],
      "env": {
        "PYTHONIOENCODING": "utf-8",
        "PYTHONUTF8": "1"
      },
      "description": "XMind MCP - 标准UVX安装版",
      "disabled": false,
      "autoApprove": []
    }
  }
}

本地开发配置（开发者）

{
  "mcpServers": {
    "xmind-mcp": {
      "command": "uvx",
      "args": ["--from", "d:\\project\\XmindMcp", "xmind-mcp"],
      "env": {
        "PYTHONIOENCODING": "utf-8",
        "PYTHONUTF8": "1"
      },
      "description": "XMind MCP - 本地开发版",
      "disabled": false,
      "autoApprove": []
    }
  }
}

5. Run Tests

# Run all tests
python tests/run_all_tests.py

# English mode
python tests/run_all_tests.py --english

# Test specific module
python tests/test_setup.py
python tests/test_core.py

📋 Available Tools

After successful configuration, you can use in Trae:

1. read_xmind_file - Read XMind file content
2. create_mind_map - Create new mind map
3. analyze_mind_map - Analyze mind map structure
4. convert_to_xmind - Convert files to XMind format
5. list_xmind_files - List XMind files
6. ai_generate_topics - AI generate topic suggestions

🎯 Usage Examples

Standalone Mode - File Conversion

Single File Conversion

# Basic conversion (auto-detect format)
python universal_xmind_converter.py <input.md> <output.xmind>

# Force specific format
python universal_xmind_converter.py <input.txt> /path/to/output/ --format text

# Custom output directory
python universal_xmind_converter.py <input.md> <output.xmind> --output-dir

Batch Conversion

# Convert all supported files in a directory
python universal_xmind_converter.py --batch examples/ output/

# Convert specific file types
python universal_xmind_converter.py --batch examples/ output/ --include "*.md,*.txt"

# Recursive batch conversion
python universal_xmind_converter.py --batch examples/ output/ --recursive

Convert Markdown to Mind Map

# Call MCP tool in Trae
convert_to_xmind({
    "source_filepath": "examples/playwright-learning-guide.md",
    "output_filepath": "output/my-guide.xmind"
})

AI Generate Mind Map

ai_generate_topics({
    "context": "Frontend Development Learning Path",
    "max_topics": 15
})

Analyze Existing Mind Map

analyze_mind_map({
    "filepath": "output/test_outline.xmind"
})

📖 Detailed Documentation

• Universal Converter Usage Guide - Multi-format conversion details
• Trae MCP Configuration Guide - Detailed MCP configuration methods
• Conversion Validation Report - Conversion quality validation results
• XMind AI MCP Design Scheme - Technical architecture design

🎨 Supported Formats

Markdown Format

# Main Title
## First Level Branch
### Second Level Branch
## Another First Level Branch

Text Outline

Main Title
  First Level Branch

HTML Format

<h1>Main Title</h1>
<h2>First Level Branch</h2>
<h3>Second Level Branch</h3>

Supported File Types

• Markdown (.md, .markdown)
• Text (.txt, .text)
• HTML (.html, .htm)
• Word (.docx)
• Excel (.xlsx)
• CSV (.csv)
• JSON (.json)
• XML (.xml)
• YAML (.yaml, .yml)

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

🔍 Validation & Quality

• ✅ 9 File Formats conversion validation all passed
• ✅ Structure Integrity maintains original hierarchical relationships
• ✅ Content Fidelity completely preserves text content
• ✅ Format Compatibility complies with XMind standards

🛠️ Technical Features

• Modular Design: Easy to extend and maintain
• Error Handling: Comprehensive exception handling mechanism
• Performance Optimization: Supports large file streaming processing
• Smart Detection: Automatically identifies file types
• Standard Compliance: Generates standard XMind format files

📝 Update Log

• v2.0 - Integrated AI MCP server functionality
• v1.2 - Added automatic file type recognition
• v1.1 - Supports multi-format batch conversion
• v1.0 - Basic Markdown conversion functionality

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• XMind team for the excellent mind mapping tool
• Trae IDE for the powerful development environment
• All contributors who helped improve this project