@pipeworx/launchdarkly

Connect: https://pipeworx.io/mcp — every tool in the catalog, including @pipeworx/launchdarkly’s. Install: one-click buttons

No MCP client? Skip the connection: POST https://gateway.pipeworx.io/v1/tools/search_packs {"query":"..."} to find a tool below, GET /v1/tools/<name> for its schema, POST the same URL with arguments for the data — see For AI agents.

Tools: 4

Inspect projects, environments, feature rollouts, and experiment-linked flags through LaunchDarkly’s REST API.

Tools

• ld_list_projects — list projects and environments
• ld_list_environments — inspect environments in a project
• ld_list_flags — search bounded feature flags and rollout state
• ld_get_flag — retrieve one flag and environment configuration

Auth

Pass a LaunchDarkly access token as _apiKey. Use a reader token restricted to the required projects and environments. The pack is read-only.

Data sources

• LaunchDarkly REST API
• Projects API
• Feature flags API

Tools

• ld_list_projects — Return bounded LaunchDarkly projects with keys, names, tags, environments, and creation metadata. Answers which applications and deployment environments are managed in LaunchDarkly.
• ld_list_environments — Return bounded LaunchDarkly environments for a project with keys, names, colors, tags, approval settings, and archival state. Answers where feature releases and experiments run.
• ld_list_flags — Return bounded LaunchDarkly feature flags with keys, variations, tags, maintainers, experiment links, lifecycle state, and optional environment rollout configuration. Answers which features are live,
• ld_get_flag — Return one LaunchDarkly feature flag with variations, maintainer, experiment links, and optional environment targeting or rollout configuration. Answers exactly how a feature is configured for release