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657,591 tools. Updated 2026-10-15 14:43

"Research on Threats and Security Risks" matching MCP tools:

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  • Evidence-backed Robinhood Chain research: builders, ships, contracts, changes, market context.

  • Contract and agent-package scans, phishing URL and OFAC checks, domain and header checks.

  • Analyze text for prompt injection, jailbreak attempts, data exfiltration, and social engineering threats using 42+ detection patterns to identify AI security risks.
    MIT
  • Scan multiple texts simultaneously for security threats like prompt injections, jailbreaks, and social engineering attacks using batch processing.
    MIT
  • Scan SKILL.md packages and agent tool definitions for security vulnerabilities including tool poisoning, command injection, data exfiltration, and prompt injection. Maps findings to OWASP Agentic and MCP Top 10.
    Apache 2.0
  • Retrieve recently published threat intelligence with pagination controls. Use limit, offset, or cursor to page through older threats and identify current security risks.
    MIT
  • Analyze multiple security findings to identify attack chains and compound risks, revealing threats more severe than individual issues and providing prioritized remediation.
    MIT
  • Retrieve AIGF risks filtered by regulatory/compliance, operational, or security type and document status. Returns risk IDs for passing to get_risk.
    Apache 2.0
  • Fetch any security case's full details by ID, including status, analyst notes, associated threats, and timeline. Get complete case context to support investigations.
    Apache 2.0
  • Scan any file for prompt injection and security threats. Supports text, images with OCR, PDFs, and more; audio/video files require a deep scan.
    MIT
  • Scan npm MCP server packages for security risks like backdoors, dangerous code, and supply chain vulnerabilities. Download and analyze packages to generate detailed security reports with severity ratings before installation.
    MIT
  • Analyze ERC-20 token contracts for security risks including honeypots, rug pulls, ownership issues, and contract vulnerabilities.
    -
  • Analyze AI config files to detect hidden security threats such as prompt injection, invisible characters, data exfiltration instructions, and jailbreak patterns.
    -
  • Analyze a token contract to detect honeypot risks, tax mechanisms, mint capabilities, and ownership vulnerabilities using the GoPlus Security API.
    MIT