MCP server that provides a security gateway for AI agents, enforcing allow/confirm/deny policies on tool calls and requiring human approval for risky operations, with full audit logging.
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.
A policy-enforcing MCP gateway that intercepts all tool calls to downstream MCP servers, applying allow/deny/ask rules with human approval and audit logging for safe access to dangerous tools.
MCP server that evaluates Terraform plans, shell commands, and tool calls to assess recoverability and risk before execution, enabling safe AI agent actions.