LaunchDarkly's MCP Server

@launchdarkly

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

launchdarkly

提交者

Naomi Hironaka

关于 LaunchDarkly's MCP Server

LaunchDarkly's Model Context Protocol (MCP) Server

#featureflags#configuration #devtools

LaunchDarkly's MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

LaunchDarkly's MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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.

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.

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.

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.

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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