What are the prerequisites?
You need Node.js and NPM installed, a Webflow account, and either an OAuth token (remote installation) or a Webflow API token (local installation).
@webflow
基本情報
Model Context Protocol (MCP) server for the Webflow Data API.
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": {
"mcp-server-webflow": {
"command": "npx",
"args": [
"-y",
"webflow-mcp-server@latest"
],
"env": {
"WEBFLOW_TOKEN": "<YOUR_WEBFLOW_TOKEN>"
}
}
}
}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。
A Node.js server that implements the Model Context Protocol (MCP) using the Webflow JavaScript SDK, enabling AI agents to interact with Webflow’s APIs. It is designed for developers who want to build AI-powered tools for Webflow sites.
Install remotely via OAuth (for Cursor or Claude Desktop) by adding an SSE URL configuration, or install locally by creating a Webflow MCP Bridge App, configuring an API token in your AI client, and running npx -y webflow-mcp-server@latest. After setup, open the Webflow Designer, launch the Webflow MCP Bridge App from the Apps panel, and start prompting your AI agent.
You need Node.js and NPM installed, a Webflow account, and either an OAuth token (remote installation) or a Webflow API token (local installation).
Remote installation uses OAuth (browser-based login); local installation requires a `WEBFLOW_TOKEN` environment variable set to a valid Webflow API token.
The `pages_update_static_content` endpoint currently supports only localized static pages in secondary locales—it does not support updates to the default locale.
Yes. You must create and publish a Webflow MCP Bridge App in your workspace, then configure your AI client (Cursor or Claude Desktop) with a Webflow API token.
Currently no. The implementation does not include MCP prompts or resources, but this may change when broader client support emerges.
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