MCP server that mediates AI agent tool calls with Cedar authorization, enforcing complete mediation and binding execution to validated operations. It demonstrates that policy enforcement and policy adequacy are independent properties, with a hash-chained ledger for verification.
An MCP server that enforces runtime authorization for tool calls using Stage0 policy validation, preventing AI agents from executing unauthorized actions before they happen.
An MCP server that acts as a governance proxy for AI agents, evaluating each tool call against policies before execution, enabling secure and controlled access to systems like Slack, GitHub, and AWS without exposing credentials to the agent.
An MCP server that enforces plain-English rules on AI agent tool calls, deterministically blocking forbidden actions before execution via a Claude Code hook and a check_action tool.
MCP server that intercepts and controls AI agent actions in your codebase by enforcing policies on file operations and commands, with logging, approval workflows, and rollback capabilities.
