Enables AI agents to access internal systems without public APIs as typed, governed MCP tools, with human-approved writes and fail-closed contract updates.
Enables AI agents to securely discover, invoke, and manage tools through a hardened MCP endpoint with protections like injection detection, circuit breakers, retry backoff, response caching, context-window limiting, and state snapshots.
Exposes internal company services as LLM-callable MCP tools, enabling AI agents to perform business operations like customer management, order processing, and support ticketing through natural language.