Convert content to PDF documents with automatic layout design for AI agents, handling HTML and other formats while following specific guidelines.
MIT
134,944 tools. Last updated 2026-05-14 12:55
"PDM" matching MCP tools:
- Convert PDF files to Markdown format for easier editing and sharing. Extract text content from PDFs and transform it into readable Markdown text.MIT
- Extract text from PDFs with Y-coordinate reading order. Handle multi-column layouts and compact whitespace for Japanese forms to reduce token consumption.MIT
- Fetch a PDF from a URL and extract its text content with options for column reordering and whitespace compaction.MIT
- Convert PDF pages to PNG images for visual verification without external applications. Choose specific pages or all pages with adjustable scale for thumbnail, preview, or detailed views.MIT
- Extract embedded images from a PDF file as base64-encoded data with metadata including dimensions and color space. Supports page range selection.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceMCP server for PDF manipulation — create PDFs from Markdown with tables and formatting, fill forms, merge, split, encrypt, add QR codes, and more. 16 tools, zero external binaries, TypeScript-native. Install with npx -y @aryanbv/pdf-toolkit-mcp.Last updated161185MIT
- AlicenseAqualityBmaintenanceA Model Context Protocol server that enables the extraction of text, metadata, and embedded images from PDF files. It provides tools for searching text with context, reading specific pages, and counting total pages within a document.Last updated714MIT
Matching MCP Connectors
Real-time product data, semantic search and more from dm-drogerie markt, Europe's leading drugstore.
Capture screenshots, generate PDFs, and render HTML to images. MCP-native for AI agents.
- Examine digital signature fields in a PDF document. Get total signature count, signed/unsigned breakdown, and details per field including signer name, reason, and signing time.MIT
- Extract tables from tagged PDFs: walks structure tree to pull cell text, outputting as Markdown or JSON for structured data.MIT
- Extract text from PDF pages by specifying a file path and optional page range to retrieve content for analysis or processing.MIT
- Search for text in a PDF file with case-insensitive matching. Specify a page range or search the entire document to get matches with surrounding context and page numbers.MIT
- Extract basic PDF metadata including page count from local files or URLs, with automatic caching for online documents.MIT
- Extract text content from specific pages of PDF files using local paths or URLs, with built-in caching for efficient document processing.MIT
- Compare internal structures of two PDFs to identify differences in properties, fonts, and objects. Useful for verifying exports, tracking changes, and diagnosing generation issues.MIT
- Calculate text dimensions for PDF layout planning. Measure width and height based on font, size, and content to ensure proper text fitting and multi-line formatting.MIT
- Create PDFs with precise positioning using Yoga flexbox layout. Design dashboards, slides, certificates, and flyers with exact placement control.MIT
- Analyze the tagged PDF structure tree to assess accessibility compliance. Output includes hierarchy, nesting depth, and role distribution.MIT
- Convert PDF files to markdown format for easier editing and content extraction. Use server file paths or online URLs to transform PDF content into readable text.MIT
- Extract and categorize annotations from a PDF, including links, highlights, comments, and form fields. Get a breakdown by subtype and page.MIT
- Validate PDF/UA tagged structure requirements by checking document tagging, heading hierarchy, figure tags, table structure, and more. Identify missing or incorrect tag issues to assess PDF accessibility quality.MIT
- Search PDF files using regex patterns to find specific content across pages, supporting both local files and URLs with paginated results.MIT