Enables AI agents to securely call enterprise MCP tools with tenant-scoped RBAC, human approvals, audit logging, and multi-tool workflows across customer, order, document, and ticket data.
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.
A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.
Enables AI agents to securely discover, execute, and observe tools with role-based access control and audit logging. Serves tools over MCP stdio and HTTP for integration with Claude Desktop, Cursor, and other clients.
Enables MCP-compatible assistants to securely access external systems like Slack through permission-scoped, idempotent tools with tenant isolation, delegated OAuth consent, and an immutable audit trail.