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LaunchDarkly's MCP Server

@launchdarkly

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

launchdarkly

投稿者

Naomi Hironaka

LaunchDarkly's MCP Server について

LaunchDarkly's Model Context Protocol (MCP) Server

#featureflags#configuration#devtools

LaunchDarkly's MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "LaunchDarkly": {
      "command": "npx",
      "args": [
        "-y",
        "--package",
        "@launchdarkly/mcp-server",
        "--",
        "mcp",
        "start",
        "--api-key",
        "api-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
      ]
    }
  }
}

LaunchDarkly's MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is LaunchDarkly's Model Context Protocol (MCP) Server?

A self-managed MCP server that enables AI clients to interact with LaunchDarkly’s feature flags, AI configs, audit logs, environments, and code references. It is designed for LaunchDarkly Federal and European Union (EU) instances where the hosted MCP server is not yet available.

How to use LaunchDarkly's Model Context Protocol (MCP) Server?

Install via npx, Docker, standalone binary, or local clone. Configure your AI client (Cursor, Claude, Qodo Gen, GitHub Copilot CLI) with the mcp start command and a LaunchDarkly API key. For EU or Federal instances, add the --server-url argument with the appropriate environment URL.

Key features of LaunchDarkly's Model Context Protocol (MCP) Server

  • List, create, update, and delete feature flags
  • Manage AI Configs and their targeting
  • Show and update AI Config variations
  • List audit log entries
  • List environments by project
  • List code reference repositories
  • Support for commercial, Federal, and EU environments

Use cases of LaunchDarkly's Model Context Protocol (MCP) Server

  • Enable an AI coding assistant to create or modify feature flags during development
  • Allow an AI agent to audit flag changes by listing recent audit log entries
  • Manage AI Configs and their variations from a chat interface
  • Query environment metadata across projects directly from your AI client

よくある質問

1

How is this different from LaunchDarkly’s hosted MCP server?

The hosted MCP server is more feature complete and receives more frequent updates. LaunchDarkly strongly recommends using the hosted server where available. This self-managed server exists for LaunchDarkly EU or Federal instances that do not yet support the hosted version.

2

What dependencies are required?

For JavaScript runtimes, see [RUNTIMES.md](RUNTIMES.md). The standalone binary has no additional dependencies. For npx installation, Node.js and npm must be available.

3

Where does flag and config data live?

Data remains in LaunchDarkly. The MCP server connects to the LaunchDarkly API using your API key. No customer data is stored locally by the server.

4

What transport or authentication does the server use?

The server uses the MCP protocol. Authentication is via a LaunchDarkly API key passed as a `--api-key` argument. For Docker, the server listens on `localhost:8080` with SSE transport.

5

Are there any known limitations?

The self-managed server is less feature complete than the hosted version and receives fewer updates. No other explicit limits are documented in the README.

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