Custom Metrics for Configs

Full lifecycle management of custom business metrics: create metric definitions with the MCP server, track events via SDK, retrieve metric data, and manage metrics programmatically.

Prerequisites

• LaunchDarkly AI SDK initialized (see sdk-install). The SDK reads LD_SDK_KEY from the environment.
• The remotely hosted LaunchDarkly MCP server configured in your environment
• A LaunchDarkly API token with the writer role, only to update or delete metrics, or for scripts that can't use MCP
• Understanding of built-in agent metrics (see built-in-metrics)

API Access

Use the LaunchDarkly MCP server tools wherever one exists: they authenticate via OAuth and need no token. Create metrics with create-metric, check that events are arriving with get-metric-events, read definitions with get-metrics, and change or remove them with update-metric and delete-metric. For scripts that can't use MCP, ask the user to paste an API access token for this session and substitute it for {api_token} in the examples below. Do not search environment variables, .env files, or agent/MCP config files for credentials.

Metrics Lifecycle Overview