PDF Reader MCP Server

# Introduction PDF Reader MCP is a Model Context Protocol (MCP) server that enables AI agents to read and extract content from PDF files. ## What It Does AI agents often need to access information from PDF documents - reports, invoices, research papers, manuals, and more. This server provides tools to extract: - **Full text content** - Get all text from a PDF - **Page-specific text** - Extract text from specific pages or page ranges - **Metadata** - Author, title, creation date, and other document properties - **Page count** - Total number of pages - **Embedded images** - Extract images as base64-encoded PNG data ## Key Features ### Multiple Sources Process PDFs from local files or URLs in a single request. Mix and match sources as needed. ### Batch Processing Send multiple PDF sources in one request. The server processes them concurrently for optimal performance. ### Flexible Extraction Choose exactly what data you need - full text, specific pages, metadata only, or everything including images. ### Image Extraction Extract embedded images from PDFs for AI vision analysis. Images are returned as base64-encoded PNG data. ## Supported Clients - **Claude Desktop** - Add to your `claude_desktop_config.json` - **Claude Code** - Use `claude mcp add` command - **Cursor** - Configure in MCP settings - **Any MCP Client** - Standard MCP protocol over stdio