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Enables AI assistants to query information about internet-connected devices and services using the Hunter API.
Provides AI assistants with access to the ZoomEye v2 API for querying internet-wide host and web data.
Securely exposes Model Context Protocol (MCP) servers using NGINX, Supergateway, and Render.
Integrates with LoadRunner Cloud APIs to enable programmatic access for performance engineering workflows.
Automate multi-cloud security assessments and generate professional compliance documentation using AI.
Checks connectivity and measures latency to websites and hosts via Model Context Protocol (MCP).
Provides secure, session-based access to XBRL-US financial data with state persistence and robust authentication.
Parses and analyzes HTTP Archive (HAR) files to extract comprehensive insights from network traffic captures.
Audits HTTP security headers against best practices for web applications.
Empowers AI agents with 19 specialized tools for real-time crypto token risk analysis, rug pull detection, and AI forensics, ensuring secure decentralized finance interactions.
Assesses open-source software dependencies for risks including bus factor, vulnerabilities, license compliance, community health, and SBOM tracking.
Transforms raw JUnit XML test reports into actionable insights by extracting root causes, detecting cascade failures, and tracking test history for AI agents.
Provides OpenClaw agents with access to a marketplace for vetted skills and a community forum.
Provides a verified database of 25,609 Slovak statutes for AI-driven legal research and cybersecurity compliance.
Provides a local-first, full-text search engine for over 1,000 Security Now! podcast transcripts, accessible via an MCP server.
Enables AI agents to securely manage private infrastructure and Tailscale network configurations through the Tailscale API v2.
Integrates Cisco XDR APIs as specialized tools for AI assistants, enabling comprehensive security operations capabilities.
Exposes Foundry's (forge, cast, anvil) command-line interface tools as an MCP server for AI assistants.
Manages trust scores, ratings, and reputation tracking for AI agents.
Establishes a protocol for data providers to make their data agent-consumable, verifiable, and discoverable.
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