Enables controlled AI-agent access to enterprise-shaped tools with a deny-by-default gated write path, human approval, dry-run execution, and append-only audit logging.
Enables coding agents to perform workspace-confined file operations, read-only Git inspection, and structured shell commands, while requiring out-of-band human approval for mutations and external executions and maintaining an audit trail.
Enables AI agents to safely work on GitHub PR reviews behind a safety boundary, creating draft reviews and optionally submitting them with fixed guardrails, without exposing write tokens.
A security-first MCP gateway that enables AI assistants to safely inspect and interact with GitHub repositories through a controlled, auditable tool layer with policy enforcement and human approval for mutations.
A policy-aware MCP server for GitHub and GitHub Actions that enables safe AI-assisted infrastructure workflows—inspecting repositories, preparing branches and pull requests, and constrained remote mutations behind explicit preview-bound approval tokens.
Enables AI coding agents to evaluate actions against team-defined policies, record decisions, and obtain human approvals for potentially risky operations.