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LaunchDarkly's Model Context Protocol (MCP) Server

@launchdarkly

关于 LaunchDarkly's Model Context Protocol (MCP) Server

LaunchDarkly's Model Context Protocol (MCP) Server

基本信息

分类

其他

许可证

MIT

运行时

node

传输方式

stdio

发布者

launchdarkly

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"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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

FAQ from LaunchDarkly's Model Context Protocol (MCP) Server

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. 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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