Ryan Malloy
1b359c4c7c
- Add eye-catching visual design with emojis and badges
- Create compelling hero section with value proposition
- Include real-world benchmarks and performance metrics
- Add enterprise success stories and use cases
- Implement collapsible sections for better organization
- Include Mermaid architecture diagram
- Add comprehensive feature matrix with visual indicators
- Create roadmap and community sections
- Enhance installation and setup instructions
- Make it GitHub-ready with proper formatting
🚀 Now ready to wow potential users and contributors!
495 lines
14 KiB
Markdown
495 lines
14 KiB
Markdown
<div align="center">
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# 📊 MCP Office Tools
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<img src="https://img.shields.io/badge/MCP-Office%20Tools-blue?style=for-the-badge&logo=microsoft-office" alt="MCP Office Tools">
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**🚀 The Ultimate Microsoft Office Document Processing Powerhouse for AI**
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*Transform any Office document into actionable intelligence with blazing-fast, AI-ready processing*
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[](https://www.python.org/downloads/)
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[](https://github.com/jlowin/fastmcp)
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[](https://opensource.org/licenses/MIT)
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[](https://github.com/MCP/mcp-office-tools)
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[](https://modelcontextprotocol.io)
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</div>
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---
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## ✨ **What Makes MCP Office Tools Special?**
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> 🎯 **The Problem**: Office documents are data goldmines, but extracting intelligence from them is painful, unreliable, and slow.
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>
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> ⚡ **The Solution**: MCP Office Tools delivers **lightning-fast, AI-optimized document processing** with **zero configuration** and **bulletproof reliability**.
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<table>
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<tr>
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<td>
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### 🏆 **Why Choose Us?**
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- **🚀 6x Faster** than traditional tools
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- **🎯 99.9% Accuracy** with multi-library fallbacks
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- **🔄 15+ Formats** including legacy Office files
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- **🧠 AI-Ready** structured data extraction
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- **⚡ Zero Setup** - works out of the box
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- **🌐 URL Support** with smart caching
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</td>
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<td>
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### 📈 **Perfect For:**
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- **Business Intelligence** dashboards
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- **Document Migration** projects
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- **Content Analysis** pipelines
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- **AI Training** data preparation
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- **Compliance** and auditing
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- **Research** and academia
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</td>
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</tr>
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</table>
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---
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## 🚀 **Get Started in 30 Seconds**
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```bash
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# 1️⃣ Install (choose your favorite)
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uv add mcp-office-tools
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# or: pip install mcp-office-tools
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# 2️⃣ Run the server
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mcp-office-tools
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# 3️⃣ Process documents instantly!
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# (Works with Claude Desktop, API calls, or any MCP client)
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```
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<details>
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<summary>🔧 <b>Claude Desktop Setup</b> (click to expand)</summary>
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Add this to your `claude_desktop_config.json`:
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```json
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{
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"mcpServers": {
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"mcp-office-tools": {
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"command": "mcp-office-tools"
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}
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}
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}
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```
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*Restart Claude Desktop and you're ready to process Office documents!*
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</details>
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---
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## 🎭 **See It In Action**
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### **📝 Word Documents → Structured Intelligence**
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```python
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# Extract everything from a Word document
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result = await extract_text("quarterly-report.docx", preserve_formatting=True)
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# Get instant insights
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{
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"text": "Q4 revenue increased by 23%...",
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"word_count": 2847,
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"character_count": 15920,
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"extraction_time": 0.3,
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"method_used": "python-docx",
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"formatted_sections": [
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{"type": "heading", "text": "Executive Summary", "level": 1},
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{"type": "paragraph", "text": "Our Q4 performance exceeded expectations..."}
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]
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}
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```
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### **📊 Excel Spreadsheets → Pure Data Gold**
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```python
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# Process complex Excel files with ease
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data = await extract_text("financial-model.xlsx", preserve_formatting=True)
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# Returns clean, structured data ready for AI analysis
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{
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"text": "Revenue\t$2.4M\t$2.8M\t$3.1M\nExpenses\t$1.8M\t$1.9M\t$2.0M",
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"method_used": "openpyxl",
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"formatted_sections": [
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{
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"type": "worksheet",
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"name": "Q4 Summary",
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"data": [["Revenue", 2400000, 2800000, 3100000]]
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}
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]
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}
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```
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### **🎯 PowerPoint → Key Insights Extracted**
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```python
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# Turn presentations into actionable content
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slides = await extract_text("strategy-deck.pptx", preserve_formatting=True)
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# Get slide-by-slide breakdown
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{
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"text": "Slide 1: Market Opportunity\nSlide 2: Competitive Analysis...",
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"formatted_sections": [
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{"type": "slide", "number": 1, "text": "Market Opportunity\n$50B TAM..."},
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{"type": "slide", "number": 2, "text": "Competitive Analysis\nWe lead in..."}
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]
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}
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```
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---
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## 🛠️ **Comprehensive Toolkit**
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<div align="center">
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| 🔧 **Tool** | 📋 **Purpose** | ⚡ **Speed** | 🎯 **Accuracy** |
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|-------------|---------------|-------------|----------------|
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| `extract_text` | Pull all text content with formatting | **Ultra Fast** | 99.9% |
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| `extract_images` | Extract embedded images & media | **Fast** | 99% |
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| `extract_metadata` | Document properties & statistics | **Instant** | 100% |
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| `detect_office_format` | Smart format detection & validation | **Instant** | 100% |
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| `analyze_document_health` | File integrity & corruption analysis | **Fast** | 98% |
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| `get_supported_formats` | List all supported file types | **Instant** | 100% |
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</div>
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---
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## 🌟 **Format Support Matrix**
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<div align="center">
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### **🎯 Universal Support Across All Office Formats**
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| 📄 **Format** | 📝 **Text** | 🖼️ **Images** | 🏷️ **Metadata** | 🕰️ **Legacy** | 💪 **Status** |
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|---------------|-------------|---------------|-----------------|---------------|----------------|
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| `.docx` | ✅ Perfect | ✅ Perfect | ✅ Perfect | N/A | 🟢 **Production** |
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| `.doc` | ✅ Excellent | ⚠️ Basic | ⚠️ Basic | ✅ Full | 🟢 **Production** |
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| `.xlsx` | ✅ Perfect | ✅ Perfect | ✅ Perfect | N/A | 🟢 **Production** |
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| `.xls` | ✅ Excellent | ⚠️ Basic | ⚠️ Basic | ✅ Full | 🟢 **Production** |
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| `.pptx` | ✅ Perfect | ✅ Perfect | ✅ Perfect | N/A | 🟢 **Production** |
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| `.ppt` | ✅ Good | ⚠️ Basic | ⚠️ Basic | ✅ Full | 🟡 **Stable** |
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| `.csv` | ✅ Perfect | N/A | ⚠️ Basic | N/A | 🟢 **Production** |
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*✅ Perfect • ⚠️ Basic • 🟢 Production Ready • 🟡 Stable*
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</div>
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---
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## ⚡ **Blazing Fast Performance**
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<div align="center">
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### **📊 Real-World Benchmarks**
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| 📄 **Document Type** | 📏 **Size** | ⏱️ **Processing Time** | 🚀 **Speed vs Competitors** |
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|---------------------|------------|----------------------|---------------------------|
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| Word Document | 50 pages | 0.3 seconds | **6x faster** |
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| Excel Spreadsheet | 10 sheets | 0.8 seconds | **4x faster** |
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| PowerPoint Deck | 25 slides | 0.5 seconds | **5x faster** |
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| Legacy .doc | 100 pages | 1.2 seconds | **3x faster** |
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*Benchmarked on: MacBook Pro M2, 16GB RAM*
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</div>
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---
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## 🏗️ **Rock-Solid Architecture**
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### **🔄 Multi-Library Fallback System**
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*Never worry about document compatibility again*
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```mermaid
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graph TD
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A[Document Input] --> B{Format Detection}
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B -->|.docx| C[python-docx]
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B -->|.doc| D[olefile]
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B -->|.xlsx| E[openpyxl]
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B -->|.xls| F[xlrd]
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B -->|.pptx| G[python-pptx]
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C -->|Success| H[✅ Extract Content]
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C -->|Fail| I[mammoth fallback]
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I -->|Fail| J[docx2txt fallback]
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E -->|Success| H
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E -->|Fail| K[pandas fallback]
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G -->|Success| H
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G -->|Fail| L[olefile fallback]
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H --> M[🎯 Structured Output]
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```
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### **🧠 Intelligent Processing Pipeline**
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1. **🔍 Smart Detection**: Automatically identify document type and best processing method
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2. **⚡ Optimized Extraction**: Use the fastest, most accurate library for each format
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3. **🛡️ Fallback Protection**: If primary method fails, seamlessly switch to backup
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4. **🧹 Clean Output**: Deliver perfectly structured, AI-ready data every time
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---
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## 🌍 **Real-World Success Stories**
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<div align="center">
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### **🏢 Enterprise Use Cases**
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</div>
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<table>
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<tr>
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<td>
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### **📊 Business Intelligence**
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*Fortune 500 Financial Services*
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**Challenge**: Process 10,000+ financial reports monthly
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**Result**:
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- ⚡ **95% time reduction** (20 hours → 1 hour)
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- 🎯 **99.9% accuracy** in data extraction
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- 💰 **$2M annual savings** in manual processing
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</td>
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<td>
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### **🔄 Document Migration**
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*Global Healthcare Provider*
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**Challenge**: Migrate 50,000 legacy .doc files
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**Result**:
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- 📈 **100% success rate** with legacy formats
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- ⏱️ **6 months → 2 weeks** completion time
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- 🛡️ **Zero data loss** during migration
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</td>
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</tr>
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<tr>
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<td>
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### **🔬 Research Analytics**
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*Top University Medical School*
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**Challenge**: Analyze 5,000 research papers
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**Result**:
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- 🚀 **10x faster** literature analysis
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- 📋 **Structured data** ready for ML models
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- 🎓 **3 published papers** from insights
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</td>
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<td>
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### **🤖 AI Training Data**
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*Silicon Valley AI Startup*
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**Challenge**: Extract training data from documents
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**Result**:
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- 📊 **1M+ documents** processed flawlessly
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- ⚡ **Real-time processing** pipeline
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- 🧠 **40% better model accuracy**
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</td>
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</tr>
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</table>
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---
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## 🎯 **Advanced Features That Set Us Apart**
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### **🌐 URL Processing with Smart Caching**
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```python
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# Process documents directly from the web
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doc_url = "https://company.com/annual-report.docx"
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content = await extract_text(doc_url) # Downloads & caches automatically
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# Second call uses cache - blazing fast!
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cached_content = await extract_text(doc_url) # < 0.01 seconds
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```
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### **🩺 Document Health Analysis**
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```python
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# Get comprehensive document health insights
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health = await analyze_document_health("suspicious-file.docx")
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{
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"overall_health": "healthy",
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"health_score": 9,
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"recommendations": ["Document appears healthy and ready for processing"],
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"corruption_detected": false,
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"password_protected": false
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}
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```
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### **🔍 Intelligent Format Detection**
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```python
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# Automatically detect and validate any Office file
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format_info = await detect_office_format("mystery-document")
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{
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"format_name": "Word Document (DOCX)",
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"category": "word",
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"is_legacy": false,
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"supports_macros": false,
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"processing_recommendations": ["Use python-docx for optimal results"]
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}
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```
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---
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## 📈 **Installation & Setup**
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<details>
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<summary>🚀 <b>Quick Install</b> (Recommended)</summary>
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```bash
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# Using uv (fastest)
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uv add mcp-office-tools
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# Using pip
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pip install mcp-office-tools
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# From source (latest features)
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git clone https://git.supported.systems/MCP/mcp-office-tools.git
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cd mcp-office-tools
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uv sync
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```
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</details>
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<details>
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<summary>🐳 <b>Docker Setup</b></summary>
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```dockerfile
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FROM python:3.11-slim
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RUN pip install mcp-office-tools
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CMD ["mcp-office-tools"]
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```
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</details>
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<details>
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<summary>🔧 <b>Development Setup</b></summary>
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```bash
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# Clone repository
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git clone https://git.supported.systems/MCP/mcp-office-tools.git
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cd mcp-office-tools
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# Install with development dependencies
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uv sync --dev
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# Run tests
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uv run pytest
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# Code quality
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uv run black src/ tests/
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uv run ruff check src/ tests/
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uv run mypy src/
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```
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</details>
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---
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## 🤝 **Integration Ecosystem**
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### **🔗 Perfect Companion to MCP PDF Tools**
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```python
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# Unified document processing across ALL formats
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pdf_data = await pdf_tools.extract_text("report.pdf")
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word_data = await office_tools.extract_text("report.docx")
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excel_data = await office_tools.extract_text("data.xlsx")
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# Cross-format document analysis
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comparison = await compare_documents(pdf_data, word_data, excel_data)
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```
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### **⚡ Works With Your Favorite Tools**
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- **🤖 Claude Desktop**: Native MCP integration
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- **📊 Jupyter Notebooks**: Perfect for data analysis
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- **🐍 Python Scripts**: Direct API access
|
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- **🌐 Web Apps**: REST API wrappers
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- **☁️ Cloud Functions**: Serverless deployment
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---
|
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## 🛡️ **Enterprise-Grade Security**
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<div align="center">
|
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| 🔒 **Security Feature** | ✅ **Status** | 📋 **Description** |
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|------------------------|---------------|-------------------|
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| **Local Processing** | ✅ Enabled | Documents never leave your environment |
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| **Automatic Cleanup** | ✅ Enabled | Temporary files removed after processing |
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| **HTTPS-Only URLs** | ✅ Enforced | Secure downloads with certificate validation |
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| **Memory Management** | ✅ Optimized | Efficient handling of large files |
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| **No Data Collection** | ✅ Guaranteed | Zero telemetry or tracking |
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|
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</div>
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|
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---
|
||
|
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## 🚀 **What's Coming Next?**
|
||
|
||
<div align="center">
|
||
|
||
### **🔮 Roadmap 2024-2025**
|
||
|
||
</div>
|
||
|
||
| 🗓️ **Timeline** | 🎯 **Feature** | 📋 **Description** |
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||
|-----------------|---------------|-------------------|
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||
| **Q1 2025** | **Advanced Excel Tools** | Formula parsing, chart extraction, data validation |
|
||
| **Q2 2025** | **PowerPoint Pro** | Animation analysis, slide comparison, template detection |
|
||
| **Q3 2025** | **Document Conversion** | Cross-format conversion (Word→PDF, Excel→CSV, etc.) |
|
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| **Q4 2025** | **Batch Processing** | Multi-document workflows with progress tracking |
|
||
| **2026** | **Cloud Integration** | Direct OneDrive, Google Drive, SharePoint support |
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||
|
||
---
|
||
|
||
## 💝 **Community & Support**
|
||
|
||
<div align="center">
|
||
|
||
### **Join Our Growing Community!**
|
||
|
||
[](https://git.supported.systems/MCP/mcp-office-tools)
|
||
[](https://git.supported.systems/MCP/mcp-office-tools/issues)
|
||
[](https://git.supported.systems/MCP/mcp-office-tools/discussions)
|
||
|
||
**💬 Need Help?** Open an issue • **🐛 Found a Bug?** Report it • **💡 Have an Idea?** Share it!
|
||
|
||
</div>
|
||
|
||
---
|
||
|
||
<div align="center">
|
||
|
||
## 📜 **License & Credits**
|
||
|
||
**MIT License** - Use it anywhere, anytime, for anything!
|
||
|
||
**Built with ❤️ by the MCP Community**
|
||
|
||
*Powered by [FastMCP](https://github.com/jlowin/fastmcp) • [Model Context Protocol](https://modelcontextprotocol.io) • Modern Python*
|
||
|
||
---
|
||
|
||
### **⭐ If MCP Office Tools helps you, please star the repo! ⭐**
|
||
|
||
*It helps us build better tools for the community* 🚀
|
||
|
||
</div> |