Tool Permission Boundary Enforcer Connector for AI agents.

It creates a strict rulebook that your AI client checks before any file-writing or reading capability is used. If a path isn't on the approved list, the action is blocked.

Yes, as long as you are using an MCP-compatible client like Claude, Cursor, or Windsurf, you can connect this to enforce security rules.

The security checks are designed to be extremely fast and happen locally, so you won't notice a meaningful delay in your agent's workflow.

The MCP prevents the action from happening in the first place. Your agent will receive a failure message indicating that the requested operation violated the established permission boundaries.

Yes, you can define specific URL patterns and domains that your agent is allowed to access, preventing it from hitting unauthorized websites.

It uses check_permission to validate every requested operation against a predefined permission matrix. If the operation or the target resource does not match the allowed patterns, the request is blocked.

Yes, you can use the list_boundaries capability to retrieve the current active permission boundaries and inspect the allowed operations and patterns.

You can use validate_resource_pattern to test a specific resource string against the regex or exact match rules of a capability/operation pair without actually executing the capability.