MCP server

Launchdarkly

io.github.pipeworx-io/launchdarkly

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

LaunchDarkly MCP Pack — wraps the LaunchDarkly REST API v2

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

46

Token cost

About 27,171 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http launchdarkly https://gateway.pipeworx.io/launchdarkly/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.launchdarkly]
url = "https://gateway.pipeworx.io/launchdarkly/mcp"

Gemini CLI

{"mcpServers":{"launchdarkly":{"httpUrl":"https://gateway.pipeworx.io/launchdarkly/mcp"}}}

Cursor

{"mcpServers":{"launchdarkly":{"url":"https://gateway.pipeworx.io/launchdarkly/mcp"}}}

VS Code

{"servers":{"launchdarkly":{"type":"http","url":"https://gateway.pipeworx.io/launchdarkly/mcp"}}}

Antigravity

agy mcp add launchdarkly https://gateway.pipeworx.io/launchdarkly/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"launchdarkly","server_url":"https://gateway.pipeworx.io/launchdarkly/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"launchdarkly","server_url":"https://gateway.pipeworx.io/launchdarkly/mcp"}

Tools

• ld_get_flag ~190 tokens
  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 or experimentation.
• ld_list_environments ~202 tokens
  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 ~286 tokens
  Return bounded LaunchDarkly feature flags with keys, variations, tags, maintainers, experiment links, lifecycle state, and optional environment rollout configuration. Answers which features are live, experimental, deprecated, or archived.
• ld_list_projects ~190 tokens
  Return bounded LaunchDarkly projects with keys, names, tags, environments, and creation metadata. Answers which applications and deployment environments are managed in LaunchDarkly.

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