# MCP PDF Reader - Project Summary
## Project Completion
A fully functional Model Context Protocol (MCP) server has been successfully developed to read and extract information from PDF files.
## 📁 Project Structure
```text
mcp-pdf-reader/
├── src/
│ ├── __tests__/
│ │ └── pdf-tools.test.ts # Unit tests
│ ├── index.ts # Main MCP server
│ ├── pdf-tools.ts # PDF extraction functions
│ └── types.ts # TypeScript type definitions
├── test-files/ # Test PDF files
├── dist/ # Compiled JavaScript
├── LICENSE
├── CHANGELOG.md
├── package.json # Project configuration
├── tsconfig.json # TypeScript configuration
├── jest.config.js # Jest test configuration
├── README.md # Main documentation
├── CLAUDE_CONFIG.md # Claude Desktop setup guide
├── COPILOT_CONFIG.md # GitHub Copilot setup guide
├── example.ts # Usage example
└── Makefile
```
## 🚀 Implemented Features
### 7 MCP Tools:
1. **read_pdf** - Extract all text from a PDF with optional metadata
2. **get_pdf_metadata** - Retrieve document metadata (title, author, dates, etc.)
3. **read_pdf_pages** - Extract text from specific pages or page ranges
4. **search_pdf** - Search for text in PDF with case-sensitivity support
5. **get_pdf_page_count** - Get total number of pages
6. **list_pdf_images** - List all embedded images with metadata
7. **extract_pdf_image** - Extract specific images as Base64-encoded data
### Capabilities:
- Full text extraction
- Metadata extraction (title, author, creator, dates)
- Page-specific reading
- Text search with context
- Case-sensitive/insensitive search support
- Robust error handling
- Complete unit tests
- Full TypeScript typing
- ES Module compilation
## 🧪 Tests
- **27 unit tests** covering all main functions
- **All tests passing** successfully
- **PDF-specific validations** (test-files/sample.pdf)
- **Concrete assertions**: page count, metadata, specific text, search results
- **Table extraction**: Tests extracting and displaying tables in ASCII format
- **Image processing**: Tests listing and extracting images from PDFs
- Run: `npm test`
- Result: **Test Suites: 1 passed, Tests: 27 passed (3.173 s)**
### Test Details:
- **getPageCount** (2 tests): Validation of exact 6-page count
- **extractMetadata** (2 tests): Verification of author, creator, producer, and dates
- **extractTextFromPDF** (3 tests): Full extraction and specific content validation
- **extractPages** (6 tests): Individual pages, page ranges, and error validation
- **searchInPDF** (8 tests): Specific term searches, case-sensitivity, context
- **Table Extraction** (1 test): Table extraction and ASCII format display
- **PDF Images** (5 tests): Listing and extraction of embedded images
## 📦 Technology Stack
- **@modelcontextprotocol/sdk** (v1.25.2) - MCP SDK
- **pdf-parse** (v2.4.5) - PDF parsing library (text extraction)
- **pdf-lib** (v1.17.1) - PDF manipulation library (image extraction)
- **TypeScript** (v5.9.3) - Statically-typed language
- **Jest** (v29.7.0) - Testing framework
- **ts-jest** (v29.2.5) - Jest TypeScript preset
## Scripts
```bash
npm run build # Compile TypeScript to JavaScript
npm run dev # Development mode (watch)
npm start # Start MCP server
npm test # Run tests
npm run test:watch # Tests in watch mode
```
## 📝 Project Status
### Successfully Completed:
1. **MCP server implemented** with 7 fully functional tools
2. **Complete test suite** executed with user-provided test PDF
3. **Successful compilation** with no errors or warnings
4. **Complete documentation** in README.md and configuration guides
5. **Fully typed code** with TypeScript
### 🎯 Ready to Use:
The server is fully functional and ready to integrate with Claude Desktop or any MCP-compatible client.
## 🎯 Usage with Claude Desktop
Once configured, you can ask Claude:
- "Read the PDF at C:/path/to/file.pdf"
- "Extract metadata from the PDF at..."
- "Search for the word 'example' in the PDF..."
- "Read pages 1-5 from the PDF..."
- "How many pages does the PDF have...?"
## ⚡ Build and Execution
The project compiles successfully without errors and is ready for use.
```bash
# Install dependencies (already done)
npm install
# Build (already done)
npm run build
# Start server
npm start
```
## Important Notes
- Does not include OCR (optical character recognition)
- Works best with well-formed PDFs
- Requires Node.js to run
- Compatible with Windows, macOS, and Linux
