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605,722 tools. Updated 2026-09-24 03:23

"Accessing a webcheck server to retrieve JSON data for website analysis" matching MCP tools:

  • Generate JSON-LD structured data templates for article, product, FAQ, local business, and website pages. Provide site name, URL, and optional author or organization details to create schema markup ready for SEO and AI assistants.
    MIT
  • Crawl a website from a starting URL to extract the information you specify. Returns data in markdown, JSON, CSV, or Toon format, with optional JSON schema and JavaScript rendering for structured results.
    MIT

Matching MCP Servers

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    An MCP server for indexing and searching local text files using late-interaction retrieval (ColBERT-style MaxSim), enabling token-level relevance matching.
    2
    MIT

Matching MCP Connectors

  • Retrieve random document samples from MongoDB collections for data exploration, testing, and analysis in JSON or CSV formats.
    MIT
  • Retrieve raw timeseries data from any SNB Warehouse cube (banking statistics) by cube ID. Specify date range and language to get Markdown and JSON output.
    MIT
  • Generate JSON-LD structured data for a website, detecting its name, logo, social profiles, contact info, and articles, then outputting ready-to-paste schema blocks (Organization, WebSite, Article, plus templates) for SEO.
    MIT
  • Export routing history to CSV or JSON for analysis in Excel, Python, R, or other data tools. Get a file path and record count to track model performance.
    MIT
  • Retrieve complete flight plan data in JSON format for deep analysis or accessing detailed fields beyond basic summaries. Specify a plan ID or get the latest dispatch.
    MIT
  • Export records from a Universe file to JSON format. Specify file name and record IDs to convert data for analysis or integration.
    Apache 2.0
  • Retrieve mid prices for all trading pairs on the exchange to monitor current market valuations and support trading decisions.
    MIT
  • Retrieve all fields and table information from a Qlik Sense application. Returns structured JSON with field metadata, system fields, hidden fields, and source tables for data model analysis.
    MIT
  • Retrieve and analyze the data loading script from a Qlik Sense application. Returns structured JSON with optional analysis including BINARY LOAD detection and variable extraction.
    MIT