MCP Control

MCP Control is a cross‑platform package manager crafted to streamline the lifecycle of Model Context Protocol (MCP) servers. Developers often juggle multiple MCP instances—each running on different operating systems or hosting environments—and must keep them up‑to‑date, monitor their health, and orchestrate start/stop cycles. MCP Control consolidates these tasks into a single, type‑safe command‑line interface built with TypeScript and Yargs. By abstracting the underlying platform details, it removes boilerplate and reduces the risk of configuration drift across environments.

At its core, MCP Control exposes a set of intuitive commands that mirror the common administrative operations required for MCP servers: start, stop, update, status, and list. Each command accepts a server name or identifier, allowing developers to target specific instances without navigating filesystem paths manually. The update operation automatically pulls the latest server binaries from a configured source, ensuring that all managed servers run compatible MCP versions and benefit from security patches without manual intervention.

Beyond basic lifecycle management, the tool integrates Playwright to enable automated testing workflows. By scripting browser interactions against MCP endpoints, teams can validate that server upgrades or configuration changes do not break downstream AI assistant integrations. The result is a reliable, repeatable testing pipeline that catches regressions early in the deployment cycle.

MCP Control’s cross‑platform design means it runs seamlessly on Windows, macOS, and Linux, making it suitable for heterogeneous development teams or CI/CD pipelines that span multiple host types. Its modular architecture also allows for future extensions—such as health‑check hooks or custom monitoring dashboards—without disrupting existing workflows.

In practice, organizations that deploy AI assistants at scale will find MCP Control invaluable for maintaining high availability and consistency across their MCP ecosystem. Whether you’re a solo developer managing a local test server or an operations engineer overseeing dozens of production instances, MCP Control turns complex server orchestration into a handful of declarative commands, freeing you to focus on building smarter AI experiences.