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Webflow's Official MCP Server

@webflow

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

webflow

关于 Webflow's Official MCP Server

Model Context Protocol (MCP) server for the Webflow Data API.

#business-critical-yes#generated-from-openapi#built-with-fern#model-context-protocol#mcp-server

Webflow's Official 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": {
    "mcp-server-webflow": {
      "command": "npx",
      "args": [
        "-y",
        "webflow-mcp-server@latest"
      ],
      "env": {
        "WEBFLOW_TOKEN": "<YOUR_WEBFLOW_TOKEN>"
      }
    }
  }
}

Webflow's Official MCP Server 工具

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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 Webflow's Official MCP Server?

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.

How to use Webflow's Official MCP Server?

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.

Key features of Webflow's Official MCP Server

  • Remote installation with OAuth authentication
  • Local installation using a Webflow API token
  • Compatible with Cursor and Claude Desktop
  • Integration with the Webflow Designer via a Bridge App
  • Requires Node.js 22.3.0 or higher
  • No built-in prompts or resources (planned for future)

Use cases of Webflow's Official MCP Server

  • Analyze blog posts and suggest topic ideas with SEO keywords
  • Find older posts mentioning similar topics and add internal links
  • Create hero section cards with CTA buttons and responsive design
  • Retrieve and update Webflow CMS content programmatically
  • Automate content management tasks through AI chat interfaces

常见问题

1

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).

2

How does authentication work?

Remote installation uses OAuth (browser-based login); local installation requires a `WEBFLOW_TOKEN` environment variable set to a valid Webflow API token.

3

What is the known limitation of the server?

The `pages_update_static_content` endpoint currently supports only localized static pages in secondary locales—it does not support updates to the default locale.

4

Can I use it with local installation?

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.

5

Does the server support prompts or resources?

Currently no. The implementation does not include MCP prompts or resources, but this may change when broader client support emerges.

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