Webflow MCP Server
W

Webflow MCP Server

A Node.js-based Webflow MCP server that implements the model context protocol through the Webflow JavaScript SDK, enabling AI agents to interact with the Webflow API.
2 points
7.6K

What is the Webflow MCP Server?

The Webflow MCP Server is a Node.js-based middleware service that implements the Model Context Protocol (MCP). It enables AI assistants (such as Cursor, Claude, etc.) to interact with the Webflow platform through simple commands. It encapsulates the complex API calls of the Webflow JavaScript SDK and provides a more user-friendly command interface.

How to use the Webflow MCP Server?

It's very simple to use: Obtain a Webflow API token, configure it in the AI editor settings, and then you can manage Webflow site content through natural language commands. It supports mainstream AI editors such as Cursor and Claude.

Applicable scenarios

Suitable for scenarios that require batch management of Webflow site content, such as content editing, CMS management, site publishing, etc. It's especially suitable for non-technical personnel to operate Webflow through AI assistants.

Main Features

Site Management
List sites, get site details, and publish site changes
Page Management
Manage Webflow pages, including listing pages, getting/updating page content and metadata
CMS Management
Full CMS content management functionality, including CRUD operations on collections, fields, and items
Advantages
Simplify the use of the Webflow API, allowing operations through natural language commands
Support integration with mainstream AI editors
Full coverage of Webflow functionality
Developer-friendly and easy to extend
Limitations
Require a valid Webflow API token
Depend on the Node.js environment
Some advanced features may require direct use of the Webflow API

How to Use

Obtain a Webflow API token
Log in to the Webflow API Playground to generate and copy the API token
Configure the AI editor
Add the MCP server configuration in the settings of Cursor or Claude
Restart the AI editor
Restart the AI editor after saving the configuration to make the changes take effect

Usage Examples

Batch update CMS content
Batch update the content of multiple items in the Webflow CMS through an AI assistant
Quickly publish a site
Publish Webflow site changes through a simple command

Frequently Asked Questions

How to obtain a Webflow API token?
Why can't the server start?
Which AI editors are supported?

Related Resources

Webflow API Documentation
Official Webflow API reference documentation
Webflow JavaScript SDK
Webflow official JavaScript SDK repository
Introduction to the MCP Protocol
More information about the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "webflow": {
      "command": "npx",
      "args": ["-y", "webflow-mcp-server@0.4.1"],
      "env": {
        "WEBFLOW_TOKEN": "<YOUR_WEBFLOW_TOKEN>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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