"MEGA" matching MCP servers:

Enables MCP clients such as Claude to read the state of ZONT / Mega SX devices and control them, covering security arming, sirens, engine blocking, remote start, thermostats, custom commands, device management, event and sensor history, and data archives.

Enables AI assistants to interact with the Velociraptor digital forensics and incident response platform for endpoint management and threat hunting. It supports artifact collection, VQL query execution, and automated forensic investigation workflows.

Enables deploying a secure MCP gateway that proxies, sandboxes, and policy-governs third-party MCP servers, with credential vaulting and audited tool access across stdio, SSE, and Streamable HTTP.

Enables an MCP server to gate tools/call requests by requiring a per-send channel-policy attestation for outbound actions, checking ROPE-lite origin tags on sensitive arguments, and returning SEP-2643-shaped structured denials with retry handles and remediation hints when a call is blocked. It logs client-asserted audit context (such as turnId and userIntent) for correlation across allowed and denied calls, but never uses that receipt for allow/deny decisions.

AI agent provenance, trust, and auditability layer. VERITAS multi-gate scoring, Cortex approval gates, S.E.A.L. hash-chain audit ledger, and semantic RAG with cryptographic provenance tracking for every decision an agent makes.

Enables removal of AI provenance metadata and invisible watermarks from images, and injection of realistic camera EXIF profiles to make them appear as authentic photography.

Detects financial fraud and AI agent transaction risks using machine learning, behavioral biometrics, network graph analysis, and agent-to-agent protection.