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534,684 tools. Updated 2026-09-08 15:18

"Methods to Parse a Web Page or Data" matching MCP tools:

  • Extract structured data from any web page by giving a URL and describing what to retrieve. Get JSON output for product details, prices, or custom fields.
    MIT
  • Render JavaScript-heavy web pages with Playwright to extract complete content from single-page apps and dynamic sites when regular methods return partial data.
    MIT
  • Need structured data from a web page? Extract content by rendering the URL, returning clean JSON for products, articles, or general pages.
    MIT
  • Retrieve and parse JSON data from any web URL, then return it in a readable, formatted structure. Use this tool to access and interpret JSON content directly from online sources.
    MIT

Matching MCP Servers

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    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
    8
    MIT
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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

  • Create, edit, preview, publish, and manage web pages from MCP-capable AI clients.

  • Look up how any brand surfaces in ChatGPT and Google AI Overviews. Brands, prompts, sources, niches & more.

  • Extract and scrape webpage content using auto, simple, Scrapy, or Selenium methods. Define extraction rules or wait for specific elements to retrieve targeted data.
    MIT
  • Extract and parse web page content into clean, structured text for AI processing. Handles JavaScript-rendered pages to deliver readable data.
    MIT
  • Fetch, parse, and index any web URL into your local-first vault for search and graph integration.
    MIT
  • Fetch and parse web pages into clean text by removing ads, navigation, and boilerplate content using Readability.
    Apache 2.0
  • Parse files or directories into semantic AST chunks (functions, classes, methods) across 8 languages, returning chunk counts and samples for indexing into persistent agent memory.
    MIT
  • Extract structured data from any web page using multiple modes like regex, JSON, meta, and links. Choose the method that matches your data format.
    MIT
  • Discover and parse RSS/Atom feeds from web pages to extract structured content for monitoring or analysis.
    MIT
  • Extract and parse web content in markdown, HTML, or screenshot formats from any URL, with options to clean content and render JavaScript.
    MIT
  • Fetch and parse web pages, extracting clean text as markdown or JSON with CSS selectors. Does not execute JavaScript, so use for static or server-rendered pages.
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  • Parse local or base64 files into agent-readable text and first-page PDF images without storing data, enabling entity extraction before storage.
    MIT