Docs Cloud Agentic AI MCP Remote MCP Admin Guide Remote MCP Server Administration Guide Page options Copy as Markdown Copied! View as plain text Ask AI about this topic Add MCP server to VS Code Use these resources to manage it throughout its lifecycle, from editing and scaling to monitoring and deletion. After reading this page, you will be able to: Identify available MCP server administrative tasks Navigate to administrative resources Describe the server lifecycle stages Server lifecycle management Manage the basic lifecycle of your MCP servers, including editing configurations, pausing to save costs, and deleting. See Manage Remote MCP Servers. Resource scaling Adjust your MCP server’s compute resources to match workload demands and optimize costs. Resource allocation directly affects your billing charges. See Scale Remote MCP Server Resources. Monitoring and observability Monitor your MCP server’s activity using OpenTelemetry traces. Track tool invocations, measure performance, debug failures, and integrate with observability platforms. See Monitor MCP Server Activity. Next steps Learn best practices for building robust tools. Manage secrets that MCP server tools use. Review MCP billing to optimize costs. Back to top × Simple online edits For simple changes, such as fixing a typo, you can edit the content directly on GitHub. Edit on GitHub Or, open an issue to let us know about something that you want us to change. Open an issue Contribution guide For extensive content updates, or if you prefer to work locally, read our contribution guide . Was this helpful? thumb_up thumb_down group Ask in the community mail Share your feedback group_add Make a contribution 🎉 Thanks for your feedback! Troubleshooting Manage Servers