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743,120 tools. Updated 2026-11-04 19:04

"A tool for reading and recognizing image content using MCP" matching MCP tools:

  • Retrieve structured Philadelphia Inquirer article content from a canonical inquirer.com story URL, including title, authors, timestamps, section, lead image, and body paragraphs in reading order.
    MIT
  • Extract a web page's title, author, date, description, site name, language, canonical URL, image, word count, and reading time without fetching its full content.
    MIT
  • Loads JavaScript-rendered pages in a real browser and extracts clean Markdown, text, HTML, or image URLs for reading and summarizing content that plain HTTP fetches cannot access.
    MIT
  • Retrieve complete article content from Grokipedia for comprehensive research and reading. Use this tool to access full articles with title and raw markdown content for detailed information gathering.
    MIT
  • Capture a PNG image of the target's viewport to check visual layout, rendering accuracy, and image display.
    MIT

Matching MCP Servers

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    Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.
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    A 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.
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    MIT

Matching MCP Connectors

  • Life Path number, Sun sign and Chinese zodiac for a birth date, plus Lunar New Year lookups.

  • Read an invoice into seller, tax id, date, and amounts.

  • Retrieve detailed bug information by ID, including image URLs, from Zentao bug tracking systems. Use the extracted URLs to analyze image content with the rdms_download_image tool.
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  • Fetch detailed market bug information by ID, including image URLs, using this tool to streamline bug tracking and analysis. Utilize returned URLs for image content analysis with other tools.
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  • Detect human faces in a local image and return their positions as percentages of image dimensions. Works offline using Apple Vision.
    MIT
  • Retrieve an image from visual memory using its short ID and return it as Base64 inline content for LLM analysis.
    Apache 2.0
  • Fetches a URL and returns content, converting HTML to markdown for readable output. Use as a fallback when the built-in web fetch tool fails.
    MIT
  • Analyze stored image files to understand content, extract text, or answer questions using AI. Configure the tool to use specific AI models or rely on server defaults for tasks like object identification or OCR.
    MIT
  • Analyze existing image files to understand content, extract text, or answer questions using AI vision models.
    MIT
  • Score text comprehension using Flesch-Kincaid metrics to get grade level, reading ease, and actionable tips for matching content to your target audience.
    MIT
  • Perform comprehensive web searches to extract and consolidate full content from top results using advanced content extraction for thorough research.
    MIT
  • Retrieve recent chat messages for a group or friend. Returns buffered message objects with sender info, content, timestamps, and image URLs for reading context without side effects.
    MIT
  • Create an image from a text prompt using OpenAI-compatible or Volcengine Ark providers, returning image content and metadata with optional local saving.
    MIT
  • Reduce tool-call overhead by reading multiple files in a single request. Intent-aware compression preserves relevant content, token budgeting auto-downsizes, and dependency order ensures coherent context.
    MIT