Skip to main content
Glama
442,443 tools. Updated 2026-08-11 09:24

"Techniques for Scraping News Data" matching MCP tools:

Matching MCP Servers

  • A
    license
    B
    quality
    D
    maintenance
    Enables access to real-time news articles through search, topic headlines, full story coverage, and geo-based local news across multiple countries and languages using the Real Time News Data API.
    7
    MIT

Matching MCP Connectors

  • Route requests through datacenter IPs for high-volume scraping of APIs and public data feeds without aggressive anti-bot protections. Supports geo-targeting and sticky IP sessions.
    MIT
  • Retrieve a full malware analysis overview for a SHA256 hash, including MITRE ATT&CK techniques, network indicators, processes, and extracted files from Hybrid Analysis.
    MIT
  • Execute utility operations for scraping, screenshots, OCR, market data, and more. Get live pricing and input shapes from list_tools before running.
    MIT
  • Enrich IPs and domains with Shodan, Censys, WHOIS, reverse IP, Wayback Machine, and VirusTotal data. Auto-detects target type for 6 techniques in a single call.
    AGPL 3.0
  • Check which censorship evasion techniques (DoH, ECH, domain fronting, Tor bridges) currently work or fail in any country.
    MIT
  • Submit an async scraping task for any URL. Returns a task ID to poll progress and retrieve data later. Handles JS-heavy, rate-limited, or long-running pages.
    MIT
  • Search the MITRE ATLAS catalog of AI/ML attack techniques by keyword, tactic, or maturity to discover techniques matching your threat model.
    MIT
  • Enrich a threat by ID with malware/tools used, targeted sectors, affected OSes, campaigns, ATLAS techniques, mitigations, and detection data. Offers the "what was used and who was targeted" view.
    MIT
  • Search MITRE ATT&CK techniques by keyword in their name or description. Returns matching techniques with IDs and optional descriptions for enterprise, mobile, or ICS domains.
    Apache 2.0
  • Look up MITRE ATLAS techniques for AI/ML adversarial attacks, covering prompt injection, model evasion, data poisoning, and more. Use attack references to pivot to ATT&CK and D3FEND for defenses.
    MIT