Gatekeeperd MCP: Conversational VPS Control

Teams managing client projects and VPS-hosted applications often jump between an admin dashboard, terminal commands, payment records, deployment tools, and server configuration. That context switching slows routine work and makes operational details harder to review in one place. Gatekeeperd MCP connects an AI assistant to the Gatekeeperd administration API through the Model Context Protocol (MCP). It exposes tools for project and customer management, balances and payments, invoices, deployments, Docker containers and images, Nginx sites, SSL certificates, audit history, and system status. An operator asks a question or requests an operation in natural language; the assistant selects the relevant MCP tool, receives structured results, and presents them in the conversation. Actions that change project or server state can be reviewed and approved by the operator before execution. The project is for developers, small teams, and service operators who manage multiple web projects on VPS infrastructure and want to work from an AI assistant without repeatedly switching between interfaces. In the demo, the assistant lists projects, identifies outstanding balances, requests a project block with an approval step, and retrieves the running container inventory. The creative element is the bridge between a conversational AI client and a real administrative API: the assistant can answer operational questions and invoke defined backend actions, while Gatekeeperd remains responsible for authentication and execution. The modular MCP tools make the integration extensible across administrative domains. The result is a single conversational entry point for routine project administration and VPS operations, with human review available for consequential changes.