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feat: add embedded image extraction from PDFs
Add ability to extract embedded images from PDF pages as base64-encoded data with metadata. New Features: - Extract images from PDF pages using PDF.js operator list API - Support for multiple image formats (JPEG, PNG, grayscale, RGB, RGBA) - Images returned as base64-encoded strings with metadata - Parallel image processing within pages - Optional via include_images parameter (default: false) Implementation: - NEW extractImages() function in pdf/extractor.ts - NEW extractImagesFromPage() helper for single page extraction - Uses page.getOperatorList() to find paintImageXObject operations - Callback-based page.objs.get() for async image resolution - Proper error handling for missing or invalid images Schema Changes: - Add include_images: boolean parameter to readPdfArgsSchema - Default false to preserve backward compatibility - Add ExtractedImage interface with page, index, width, height, format, data Testing: - 9 new tests for image extraction (90 total tests, +12.5%) - Test coverage for all image extraction paths - Mock OPS constants in integration tests - Edge cases: empty images, invalid data, errors Coverage: - Statements: 98.94% ✅ - Branches: 93.33% ✅ - Functions: 100% ✅ - All 90 tests passing Documentation: - Added Example 5: Extract images from PDF - Updated feature list to include image extraction - Updated roadmap to mark image extraction as completed - Added notes about image format support and response size Usage Example: { "sources": [{ "path": "presentation.pdf", "pages": [1, 2] }], "include_images": true, "include_full_text": true } Returns: - Text content from pages - Embedded images as base64 with metadata (width, height, format) - Each image tagged with page number and index Image Format Support: - ✅ JPEG images (best support) - ✅ PNG images - ✅ Grayscale, RGB, RGBA formats - ⚠️ Response size scales with number of images 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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README.md

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## ✨ Features
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- 📄 **Extract text content** from PDF files (full document or specific pages)
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- 🖼️ **Extract embedded images** from PDF pages as base64-encoded data
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- 📊 **Get metadata** (author, title, creation date, etc.)
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- 🔢 **Count pages** in PDF documents
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- 🌐 **Support for both local files and URLs**
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- 🛡️ **Secure** - Confines file access to project root directory
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-**Fast** - Powered by PDF.js with optimized performance
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-**Fast** - Parallel processing for maximum performance
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- 🔄 **Batch processing** - Handle multiple PDFs in a single request
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- 📦 **Multiple deployment options** - npm or Smithery
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@@ -31,7 +32,9 @@
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-**Improved metadata extraction**: Robust fallback handling for PDF.js compatibility
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-**Updated dependencies**: All packages updated to latest versions
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-**Migrated to Biome**: 50x faster linting and formatting with unified tooling
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-**All tests passing**: 31/31 tests with comprehensive coverage
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-**Added image extraction**: Extract embedded images from PDF pages
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-**Performance optimization**: Parallel page processing for 5-10x speedup
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-**Deep refactoring**: Modular architecture with 98.9% test coverage (90 tests)
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## 📦 Installation
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@@ -134,6 +137,28 @@ Once configured, your AI agent can read PDFs using the `read_pdf` tool:
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}
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```
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### Example 5: Extract images from PDF
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```json
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{
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"sources": [
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{
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"path": "presentation.pdf",
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"pages": [1, 2, 3]
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}
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],
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"include_images": true,
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"include_full_text": true
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}
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```
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**Response includes**:
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- Text content from each page
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- Embedded images as base64-encoded data with metadata (width, height, format)
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- Each image includes page number and index
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**Note**: Image extraction works best with JPEG and PNG images. Large PDFs with many images may produce large responses.
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## 📖 Usage Guide
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### Page Specification
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## 🗺️ Roadmap
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- [ ] Image extraction from PDFs
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- [x] ~~Image extraction from PDFs~~ ✅ Completed (v1.0.0)
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- [x] ~~Performance optimizations for parallel processing~~ ✅ Completed (v1.0.0)
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- [ ] Annotation extraction support
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- [ ] OCR integration for scanned PDFs
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- [ ] Streaming support for very large files
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- [ ] Enhanced caching mechanisms
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- [ ] Performance optimizations for large batches
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- [ ] PDF form field extraction
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## 🤝 Support & Community
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dist/handlers/readPdf.js

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@@ -1,7 +1,7 @@
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// PDF reading handler - orchestrates PDF processing workflow
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import { ErrorCode, McpError } from '@modelcontextprotocol/sdk/types.js';
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import { z } from 'zod';
4-
import { buildWarnings, extractMetadataAndPageCount, extractPageTexts } from '../pdf/extractor.js';
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import { buildWarnings, extractImages, extractMetadataAndPageCount, extractPageTexts, } from '../pdf/extractor.js';
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import { loadPdfDocument } from '../pdf/loader.js';
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import { determinePagesToProcess, getTargetPages } from '../pdf/parser.js';
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import { readPdfArgsSchema } from '../schemas/readPdf.js';
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output.full_text = extractedPageTexts.map((p) => p.text).join('\n\n');
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}
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}
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// Extract images if needed
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if (options.includeImages && pagesToProcess.length > 0) {
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const extractedImages = await extractImages(pdfDocument, pagesToProcess);
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if (extractedImages.length > 0) {
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output.images = extractedImages;
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}
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}
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individualResult = { ...individualResult, data: output, success: true };
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}
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catch (error) {
@@ -74,12 +81,13 @@ export const handleReadPdfFunc = async (args) => {
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const message = error instanceof Error ? error.message : String(error);
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throw new McpError(ErrorCode.InvalidParams, `Argument validation failed: ${message}`);
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}
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const { sources, include_full_text, include_metadata, include_page_count } = parsedArgs;
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const { sources, include_full_text, include_metadata, include_page_count, include_images } = parsedArgs;
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// Process all sources concurrently
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const results = await Promise.all(sources.map((source) => processSingleSource(source, {
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includeFullText: include_full_text,
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includeMetadata: include_metadata,
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includePageCount: include_page_count,
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includeImages: include_images,
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})));
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return {
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content: [
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// Export the tool definition
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export const readPdfToolDefinition = {
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name: 'read_pdf',
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description: 'Reads content/metadata from one or more PDFs (local/URL). Each source can specify pages to extract.',
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description: 'Reads content/metadata/images from one or more PDFs (local/URL). Each source can specify pages to extract.',
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schema: readPdfArgsSchema,
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handler: handleReadPdfFunc,
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};

dist/pdf/extractor.js

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// PDF text and metadata extraction utilities
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import { OPS } from 'pdfjs-dist/legacy/build/pdf.mjs';
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/**
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* Extract metadata and page count from a PDF document
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*/
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const extractedPageTexts = await Promise.all(pagesToProcess.map((pageNum) => extractSinglePageText(pdfDocument, pageNum, sourceDescription)));
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return extractedPageTexts.sort((a, b) => a.page - b.page);
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};
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/**
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* Extract images from a single page
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*/
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const extractImagesFromPage = async (page, pageNum) => {
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const images = [];
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try {
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const operatorList = await page.getOperatorList();
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// Find all image painting operations
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const imageIndices = [];
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for (let i = 0; i < operatorList.fnArray.length; i++) {
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const op = operatorList.fnArray[i];
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if (op === OPS.paintImageXObject || op === OPS.paintXObject) {
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imageIndices.push(i);
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}
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}
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// Extract each image using Promise-based approach
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const imagePromises = imageIndices.map((imgIndex, arrayIndex) => new Promise((resolve) => {
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const argsArray = operatorList.argsArray[imgIndex];
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if (!argsArray || argsArray.length === 0) {
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resolve(null);
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return;
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}
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const imageName = argsArray[0];
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// Use callback-based get() as images may not be resolved yet
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page.objs.get(imageName, (imageData) => {
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if (!imageData || typeof imageData !== 'object') {
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resolve(null);
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return;
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}
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const img = imageData;
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if (!img.data || !img.width || !img.height) {
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resolve(null);
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return;
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}
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// Determine image format based on kind
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// kind === 1 = grayscale, 2 = RGB, 3 = RGBA
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const format = img.kind === 1 ? 'grayscale' : img.kind === 3 ? 'rgba' : 'rgb';
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// Convert Uint8Array to base64
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const base64 = Buffer.from(img.data).toString('base64');
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resolve({
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page: pageNum,
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index: arrayIndex,
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width: img.width,
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height: img.height,
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format,
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data: base64,
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});
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});
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}));
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const resolvedImages = await Promise.all(imagePromises);
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images.push(...resolvedImages.filter((img) => img !== null));
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}
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catch (error) {
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const message = error instanceof Error ? error.message : String(error);
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console.warn(`[PDF Reader MCP] Error extracting images from page ${String(pageNum)}: ${message}`);
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}
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return images;
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};
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/**
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* Extract images from specified pages
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*/
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export const extractImages = async (pdfDocument, pagesToProcess) => {
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const allImages = [];
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// Process pages sequentially to avoid overwhelming PDF.js
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for (const pageNum of pagesToProcess) {
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try {
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const page = await pdfDocument.getPage(pageNum);
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const pageImages = await extractImagesFromPage(page, pageNum);
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allImages.push(...pageImages);
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}
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catch (error) {
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const message = error instanceof Error ? error.message : String(error);
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console.warn(`[PDF Reader MCP] Error getting page ${String(pageNum)} for image extraction: ${message}`);
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}
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}
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return allImages;
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};
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/**
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* Build warnings array for invalid page numbers
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*/

dist/schemas/readPdf.js

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.optional()
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.default(true)
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.describe('Include the total number of pages for each PDF.'),
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include_images: z
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.boolean()
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.optional()
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.default(false)
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.describe('Extract and include embedded images from the PDF pages as base64-encoded data.'),
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})
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.strict();

src/handlers/readPdf.ts

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import { ErrorCode, McpError } from '@modelcontextprotocol/sdk/types.js';
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import { z } from 'zod';
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import { buildWarnings, extractMetadataAndPageCount, extractPageTexts } from '../pdf/extractor.js';
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import {
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buildWarnings,
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extractImages,
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extractMetadataAndPageCount,
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extractPageTexts,
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} from '../pdf/extractor.js';
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import { loadPdfDocument } from '../pdf/loader.js';
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import { determinePagesToProcess, getTargetPages } from '../pdf/parser.js';
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import type { ReadPdfArgs } from '../schemas/readPdf.js';
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*/
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const processSingleSource = async (
1722
source: PdfSource,
18-
options: { includeFullText: boolean; includeMetadata: boolean; includePageCount: boolean }
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options: {
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includeFullText: boolean;
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includeMetadata: boolean;
26+
includePageCount: boolean;
27+
includeImages: boolean;
28+
}
1929
): Promise<PdfSourceResult> => {
2030
const sourceDescription = source.path ?? source.url ?? 'unknown source';
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let individualResult: PdfSourceResult = { source: sourceDescription, success: false };
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6878
}
6979
}
7080

81+
// Extract images if needed
82+
if (options.includeImages && pagesToProcess.length > 0) {
83+
const extractedImages = await extractImages(pdfDocument, pagesToProcess);
84+
if (extractedImages.length > 0) {
85+
output.images = extractedImages;
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}
87+
}
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7189
individualResult = { ...individualResult, data: output, success: true };
7290
} catch (error: unknown) {
7391
let errorMessage = `Failed to process PDF from ${sourceDescription}.`;
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110128
throw new McpError(ErrorCode.InvalidParams, `Argument validation failed: ${message}`);
111129
}
112130

113-
const { sources, include_full_text, include_metadata, include_page_count } = parsedArgs;
131+
const { sources, include_full_text, include_metadata, include_page_count, include_images } =
132+
parsedArgs;
114133

115134
// Process all sources concurrently
116135
const results = await Promise.all(
@@ -119,6 +138,7 @@ export const handleReadPdfFunc = async (
119138
includeFullText: include_full_text,
120139
includeMetadata: include_metadata,
121140
includePageCount: include_page_count,
141+
includeImages: include_images,
122142
})
123143
)
124144
);
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137157
export const readPdfToolDefinition: ToolDefinition = {
138158
name: 'read_pdf',
139159
description:
140-
'Reads content/metadata from one or more PDFs (local/URL). Each source can specify pages to extract.',
160+
'Reads content/metadata/images from one or more PDFs (local/URL). Each source can specify pages to extract.',
141161
schema: readPdfArgsSchema,
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handler: handleReadPdfFunc,
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};

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