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466,711 tools. Updated 2026-08-20 03:57

"Tools and Methods for Extracting Data from PDFs and Images" matching MCP tools:

  • Renders any URL in a real browser, returning markdown, screenshots, PDFs, or structured data in one call. Ideal for summarizing or extracting content from live web pages.
    MIT
  • View file attachments from Todoist comments by providing the fileUrl. Supports images, text, and PDFs, returning them inline or as embedded resources.
    MIT
  • Scrape JavaScript-rendered pages for SEO audit signals: title, meta tags, headings, Open Graph, structured data, canonical, images, and issues. Waits for JS execution before extracting content.
    MIT
  • Upload files to RSpace documents and attach them as proper file attachments in one step. Supports all file types including images, PDFs, and data files.
    AGPL 3.0
  • Display image attachments as viewable images when local file access is unavailable. Inspect photos and scans directly; for text and PDFs, use read_attachment.
    Apache 2.0
  • Write email attachments to disk and return the saved file paths. Handles images, scanned PDFs, and other non-text content. Files self-delete after a short time by default.
    Apache 2.0

Matching MCP Servers

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    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0
  • A
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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Apache 2.0

Matching MCP Connectors

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  • Retrieve your past render results including images, PDFs, and screenshots. Filter by template or batch, and paginate to navigate through results.
    Apache 2.0
  • Extract figures, tables, and equations from PDF documents using layout detection. Returns base64-encoded images of detected elements with metadata from academic papers or any PDF URL.
    Apache 2.0
  • Convert PDFs and scanned images into JSON representation, preserving text, fonts, images, vectors, and formatting.
    MIT
  • Convert PDFs and scanned images to XML for structured data extraction, with OCR support and options for pages, regions, and line grouping.
    MIT
  • Combine files from multiple URLs—PDFs, Word docs, Excel sheets, images, and ZIP archives—into one unified PDF.
    MIT
  • Extract structured content and layout from PDFs, images, and Office files. Supports output formats like HTML, text, and markdown.
    MIT
  • Extract structured content from PDFs, images, and Office files while preserving original formatting and layout using Upstage AI's document digitization API.
    MIT
  • Extract text from local images and PDFs with Apple Vision OCR, returning plain text or structured blocks with bounding boxes. Works offline on macOS.
    MIT
  • Extract text, faces, barcodes, and rectangles from images and PDFs in reading order for document reconstruction. Works fully offline with no API keys.
    MIT
  • Upload local media files for server-side extraction and analysis, handling large PDFs, videos, audio, and complex formats beyond client capabilities.
    AGPL 3.0
  • Read the full content of a Bear note by ID or title. Includes text extracted from images and PDFs with clear labeling.
    Apache 2.0