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758,837 tools. Updated 2026-11-08 04:10

"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
  • Read a public web page as text with author, date, licence and Wayback snapshots to cite web-published methods; use after a web search. Stops at bot checks and local addresses.
    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
    44 PyPI
    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.

  • Capture a PNG of a web page via Decodo Web Scraping API when layout or visuals matter, rather than only text.
    ISC
  • 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
  • Find allowed Slack Web API methods by name, description, or argument type; returns TypeScript signatures, JSDoc, and argument interfaces, with options to fetch types or include blocked methods.
    MIT
  • Extract structured data—product details, article content, or general page info—from web pages by rendering URLs and optionally applying LLM-based semantic normalization.
    MIT
  • Extract and parse web page content into clean, structured text for AI processing. Handles JavaScript-rendered pages to deliver readable data.
    MIT
  • Fetch and parse web pages into clean text by removing ads, navigation, and boilerplate content using Readability.
    Apache 2.0
  • Parse and validate OpenAPI/Swagger specs from JSON/YAML or URL to extract endpoints, methods, and schemas for API development.
    MIT
  • 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
  • Discover and parse RSS/Atom feeds from web pages to extract structured content for monitoring or analysis.
    MIT