225 lines
5.8 KiB
Markdown
225 lines
5.8 KiB
Markdown
<div align="center">
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# 📄 MCP PDF
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<img src="https://img.shields.io/badge/MCP-PDF%20Tools-red?style=for-the-badge&logo=adobe-acrobat-reader" alt="MCP PDF">
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**A FastMCP server for PDF processing**
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*41 tools for text extraction, OCR, tables, forms, annotations, and more*
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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://pypi.org/project/mcp-pdf/)
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**Works great with [MCP Office Tools](https://git.supported.systems/MCP/mcp-office-tools)**
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</div>
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---
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## What It Does
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MCP PDF extracts content from PDFs using multiple libraries with automatic fallbacks. If one method fails, it tries another.
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**Core capabilities:**
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- **Text extraction** via PyMuPDF, pdfplumber, or pypdf (auto-fallback)
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- **Table extraction** via Camelot, pdfplumber, or Tabula (auto-fallback)
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- **OCR** for scanned documents via Tesseract
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- **Form handling** - extract, fill, and create PDF forms
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- **Document assembly** - merge, split, reorder pages
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- **Annotations** - sticky notes, highlights, stamps
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- **Vector graphics** - extract to SVG for schematics and technical drawings
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---
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## Quick Start
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```bash
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# Install from PyPI
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uvx mcp-pdf
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# Or add to Claude Code
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claude mcp add pdf-tools uvx mcp-pdf
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```
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<details>
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<summary><b>Development Installation</b></summary>
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```bash
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git clone https://github.com/rsp2k/mcp-pdf
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cd mcp-pdf
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uv sync
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# System dependencies (Ubuntu/Debian)
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sudo apt-get install tesseract-ocr tesseract-ocr-eng poppler-utils ghostscript
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# Verify
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uv run python examples/verify_installation.py
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```
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</details>
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---
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## Tools
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### Content Extraction
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| Tool | What it does |
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|------|-------------|
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| `extract_text` | Pull text from PDF pages with automatic chunking for large files |
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| `extract_tables` | Extract tables to JSON, CSV, or Markdown |
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| `extract_images` | Extract embedded images |
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| `extract_links` | Get all hyperlinks with page filtering |
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| `pdf_to_markdown` | Convert PDF to markdown preserving structure |
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| `ocr_pdf` | OCR scanned documents using Tesseract |
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| `extract_vector_graphics` | Export vector graphics to SVG (schematics, charts, drawings) |
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### Document Analysis
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| Tool | What it does |
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|------|-------------|
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| `extract_metadata` | Get title, author, creation date, page count, etc. |
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| `get_document_structure` | Extract table of contents and bookmarks |
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| `analyze_layout` | Detect columns, headers, footers |
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| `is_scanned_pdf` | Check if PDF needs OCR |
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| `compare_pdfs` | Diff two PDFs by text, structure, or metadata |
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| `analyze_pdf_health` | Check for corruption, optimization opportunities |
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| `analyze_pdf_security` | Report encryption, permissions, signatures |
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### Forms
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| Tool | What it does |
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|------|-------------|
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| `extract_form_data` | Get form field names and values |
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| `fill_form_pdf` | Fill form fields from JSON |
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| `create_form_pdf` | Create new forms with text fields, checkboxes, dropdowns |
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| `add_form_fields` | Add fields to existing PDFs |
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### Document Assembly
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| Tool | What it does |
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|------|-------------|
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| `merge_pdfs` | Combine multiple PDFs with bookmark preservation |
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| `split_pdf_by_pages` | Split by page ranges |
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| `split_pdf_by_bookmarks` | Split at chapter/section boundaries |
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| `reorder_pdf_pages` | Rearrange pages in custom order |
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### Annotations
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| Tool | What it does |
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|------|-------------|
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| `add_sticky_notes` | Add comment annotations |
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| `add_highlights` | Highlight text regions |
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| `add_stamps` | Add Approved/Draft/Confidential stamps |
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| `extract_all_annotations` | Export annotations to JSON |
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---
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## How Fallbacks Work
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The server tries multiple libraries for each operation:
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**Text extraction:**
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1. PyMuPDF (fastest)
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2. pdfplumber (better for complex layouts)
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3. pypdf (most compatible)
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**Table extraction:**
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1. Camelot (best accuracy, requires Ghostscript)
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2. pdfplumber (no dependencies)
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3. Tabula (requires Java)
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If a PDF fails with one library, the next is tried automatically.
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---
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## Token Management
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Large PDFs can overflow MCP response limits. The server handles this:
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- **Automatic chunking** splits large documents into page groups
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- **Table row limits** prevent huge tables from blowing up responses
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- **Summary mode** returns structure without full content
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```python
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# Get first 10 pages
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result = await extract_text("huge.pdf", pages="1-10")
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# Limit table rows
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tables = await extract_tables("data.pdf", max_rows_per_table=50)
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# Structure only
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tables = await extract_tables("data.pdf", summary_only=True)
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```
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---
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## URL Processing
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PDFs can be fetched directly from HTTPS URLs:
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```python
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result = await extract_text("https://example.com/report.pdf")
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```
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Files are cached locally for subsequent operations.
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---
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## System Dependencies
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Some features require system packages:
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| Feature | Dependency |
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|---------|-----------|
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| OCR | `tesseract-ocr` |
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| Camelot tables | `ghostscript` |
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| Tabula tables | `default-jre-headless` |
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| PDF to images | `poppler-utils` |
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Ubuntu/Debian:
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```bash
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sudo apt-get install tesseract-ocr tesseract-ocr-eng poppler-utils ghostscript default-jre-headless
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```
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---
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## Configuration
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Optional environment variables:
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| Variable | Purpose |
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|----------|---------|
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| `MCP_PDF_ALLOWED_PATHS` | Colon-separated directories for file output |
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| `PDF_TEMP_DIR` | Temp directory for processing (default: `/tmp/mcp-pdf-processing`) |
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| `TESSDATA_PREFIX` | Tesseract language data location |
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---
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## Development
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```bash
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# Run tests
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uv run pytest
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# With coverage
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uv run pytest --cov=mcp_pdf
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# Format
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uv run black src/ tests/
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# Lint
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uv run ruff check src/ tests/
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```
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---
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## License
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MIT
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</div>
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