LaunchDarkly MCP

MCP serverDev tools

LaunchDarkly MCP Pack — wraps the LaunchDarkly REST API v2

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use LaunchDarkly MCP

From the project's README

As published by pipeworx-io/mcp-launchdarkly in README.md.

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

Part of Pipeworx — an MCP gateway connecting AI agents to 1573+ live data sources.

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

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

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

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/launchdarkly/mcp returns the tools in the table above plus the shared Pipeworx meta-toolsask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

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

Both URLs reach the same gateway and the same 1573+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "launchdarkly": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-launchdarkly"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-launchdarkly

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Launchdarkly data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Advanced
Delivery
launchdarkly MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
io-github-pipeworx-io-launchdarkly
Source
github.com/pipeworx-io/mcp-launchdarkly
Hosted endpoint
https://gateway.pipeworx.io/launchdarkly/mcp