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📝 Update README: 40 tools, v2.0.7 table features, token management
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Ryan Malloy 2025-11-08 20:12:40 -07:00
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@ -24,19 +24,19 @@
> 🎯 **The Problem**: PDFs contain incredible intelligence, but extracting it reliably is complex, slow, and often fails. > 🎯 **The Problem**: PDFs contain incredible intelligence, but extracting it reliably is complex, slow, and often fails.
> >
> ⚡ **The Solution**: MCP PDF delivers **AI-powered document intelligence** with **23 specialized tools** that understand both content and structure. > ⚡ **The Solution**: MCP PDF delivers **AI-powered document intelligence** with **40 specialized tools** that understand both content and structure.
<table> <table>
<tr> <tr>
<td> <td>
### 🏆 **Why MCP PDF Leads** ### 🏆 **Why MCP PDF Leads**
- **🚀 24 Specialized Tools** for every PDF scenario - **🚀 40 Specialized Tools** for every PDF scenario
- **🧠 AI-Powered Intelligence** beyond basic extraction - **🧠 AI-Powered Intelligence** beyond basic extraction
- **🔄 Multi-Library Fallbacks** for 99.9% reliability - **🔄 Multi-Library Fallbacks** for 99.9% reliability
- **⚡ 10x Faster** than traditional solutions - **⚡ 10x Faster** than traditional solutions
- **🌐 URL Processing** with smart caching - **🌐 URL Processing** with smart caching
- **👥 User-Friendly** 1-based page numbering - **🎯 Smart Token Management** prevents MCP overflow errors
</td> </td>
<td> <td>
@ -119,7 +119,12 @@ Add to your `claude_desktop_config.json`:
health = await analyze_pdf_health("quarterly-report.pdf") health = await analyze_pdf_health("quarterly-report.pdf")
classification = await classify_content("quarterly-report.pdf") classification = await classify_content("quarterly-report.pdf")
summary = await summarize_content("quarterly-report.pdf", summary_length="medium") summary = await summarize_content("quarterly-report.pdf", summary_length="medium")
tables = await extract_tables("quarterly-report.pdf", pages=[5,6,7])
# Smart table extraction - prevents token overflow on large tables
tables = await extract_tables("quarterly-report.pdf", pages="5-7", max_rows_per_table=100)
# Or get just table structure without data
table_summary = await extract_tables("quarterly-report.pdf", pages="5-7", summary_only=True)
charts = await extract_charts("quarterly-report.pdf") charts = await extract_charts("quarterly-report.pdf")
# Get instant insights # Get instant insights
@ -177,7 +182,7 @@ citations = await extract_text("research-paper.pdf", pages=[15,16,17])
--- ---
## 🛠️ **Complete Arsenal: 23 Specialized Tools** ## 🛠️ **Complete Arsenal: 40+ Specialized Tools**
<div align="center"> <div align="center">
@ -195,8 +200,8 @@ citations = await extract_text("research-paper.pdf", pages=[15,16,17])
| 🔧 **Tool** | 📋 **Purpose** | ⚡ **Speed** | 🎯 **Accuracy** | | 🔧 **Tool** | 📋 **Purpose** | ⚡ **Speed** | 🎯 **Accuracy** |
|-------------|---------------|-------------|----------------| |-------------|---------------|-------------|----------------|
| `extract_text` | Multi-method text extraction | **Ultra Fast** | 99.9% | | `extract_text` | Multi-method text extraction with auto-chunking | **Ultra Fast** | 99.9% |
| `extract_tables` | Intelligent table processing | **Fast** | 98% | | `extract_tables` | Smart table extraction with token overflow protection | **Fast** | 98% |
| `ocr_pdf` | Advanced OCR for scanned docs | **Moderate** | 95% | | `ocr_pdf` | Advanced OCR for scanned docs | **Moderate** | 95% |
| `extract_images` | Media extraction & processing | **Fast** | 99% | | `extract_images` | Media extraction & processing | **Fast** | 99% |
| `pdf_to_markdown` | Structure-preserving conversion | **Fast** | 97% | | `pdf_to_markdown` | Structure-preserving conversion | **Fast** | 97% |