What runtime or dependencies does GrowthBook MCP Server require?
The server is an MCP server and must be added to an LLM client that supports the Model Context Protocol. It requires no specific runtime beyond the client's environment.
@growthbook
基本情報
Official GrowthBook MCP server for creating flags, getting experiments, and more.
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": {
"growthbook": {
"command": "npx",
"args": [
"-y",
"@growthbook/mcp@latest"
],
"env": {
"GB_API_KEY": "YOUR_API_KEY",
"GB_API_URL": "YOUR_API_URL",
"GB_APP_ORIGIN": "YOUR_APP_ORIGIN",
"GB_USER": "YOUR_NAME"
}
}
}
}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。
GrowthBook MCP Server lets you interact with GrowthBook directly from an LLM client. It is designed for users who want to view experiment details, add feature flags, and perform other GrowthBook actions using natural language commands.
Add the MCP server to your AI tool of choice and configure it using environment variables. Required variables are GB_API_KEY (a GrowthBook API key or PAT) and GB_EMAIL (your email). Optional variables include GB_API_URL, GB_APP_ORIGIN, and GB_HTTP_HEADER_* for custom headers. See the official GrowthBook docs for a complete setup guide.
The server is an MCP server and must be added to an LLM client that supports the Model Context Protocol. It requires no specific runtime beyond the client's environment.
Authentication uses a GrowthBook API key or Personal Access Token (PAT) set via the `GB_API_KEY` environment variable. When using a PAT, server capabilities are limited by the token's permissions.
All data interactions go through the GrowthBook API. Feature flags, experiments, and user data remain within GrowthBook's infrastructure.
Capabilities are limited by the permissions of the API key or PAT used. For example, if the token cannot create experiments in the GrowthBook app, it also cannot create them via the MCP server.
The server uses the Model Context Protocol (MCP) to communicate with LLM clients. It connects to GrowthBook via its REST API, with the API URL configurable via the `GB_API_URL` environment variable.
Open-source MCP to use Blender with any LLM

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
🚀 The fast, Pythonic way to build MCP servers and clients.
コメント