A local-first MCP server that lets AI agents use gated APIs without holding keys, enforcing declarative policies, injecting secrets server-side, and auditing access without content.
An MCP policy proxy that sits between AI agents and their upstream MCP servers to enforce hard spend and blast-radius caps, human approvals for destructive tools, a kill switch, scoped per-agent credentials, dry-run writes with mutation diffs, semantic loop breaking, and a hash-chained audit log. It also offers hook mode that applies the same policy to coding agents' own shell commands and file edits.
A security MCP proxy that monitors and blocks data exfiltration between AI agents and their tools by detecting toxic flows (untrusted → sensitive → egress) deterministically with zero LLM calls in the decision path.
A secure gateway that lets AI agents interact with APIs and SSH servers via scoped tokens, with credential injection, human-in-the-loop for dangerous commands, and MCP integration for tool access.
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.