Webflow's MCP server

A Node.js server implementing Model Context Protocol (MCP) for Webflow using the Webflow JavaScript SDK. Enable AI agents to interact with Webflow APIs. Learn more about Webflow's Data API in the developer documentation.

Prerequisites

• Node.js
• NPM
• A Webflow Account

🚀 Remote installation

Get started by installing Webflow's remote MCP server. The remote server uses OAuth to authenticate with your Webflow sites, and a companion app that syncs your live canvas with your AI agent.

Requirements

• Node.js 22.3.0 or higher

Note: The MCP server currently supports Node.js 22.3.0 or higher. If you run into version issues, see the Node.js compatibility guidance.

Cursor

Add MCP server to Cursor

1. Go to Settings → Cursor Settings → MCP & Integrations.
2. Under MCP Tools, click + New MCP Server.
3. Paste the following configuration into .cursor/mcp.json (or add the webflow part to your existing configuration):

{
  "mcpServers": {
    "webflow": {
      "url": "https://mcp.webflow.com/sse"
    }
  }
}

Tip: You can create a project-level mcp.json to avoid repeated auth prompts across multiple Cursor windows. See Cursor’s docs on configuration locations.

4. Save and close the file. Cursor will automatically open an OAuth login page where you can authorize Webflow sites to use with the MCP server.

Open the Webflow Designer

• Open your site in the Webflow Designer, or ask your AI agent:

Give me a link to open <MY_SITE_NAME> in the Webflow Designer

Open the MCP Webflow App

1. In the Designer, open the Apps panel (press E).
2. Launch your published "Webflow MCP Bridge App".
3. Wait for the app to connect to the MCP server.

Write your first prompt

Try these in your AI chat:

Analyze my last 5 blog posts and suggest 3 new topic ideas with SEO keywords

Find older blog posts that mention similar topics and add internal links to my latest post

Create a hero section card on my home page with a CTA button and responsive design

Claude desktop

Add MCP server to Claude desktop

1. Enable developer mode: Help → Troubleshooting → Enable Developer Mode.
2. Open developer settings: File → Settings → Developer.
3. Click Get Started or edit the configuration to open claude_desktop_config.json and add:

{
  "mcpServers": {
    "webflow": {
      "command": "npx",
      "args": ["mcp-remote", "https://mcp.webflow.com/sse"]
    }
  }
}

4. Save and restart Claude Desktop (Cmd/Ctrl + R). An OAuth login page will open to authorize sites.

Open the Webflow Designer

• Open your site in the Webflow Designer, or ask your AI agent:

Give me a link to open <MY_SITE_NAME> in the Webflow Designer

Open the MCP Webflow App

1. In the Designer, open the Apps panel (press E).
2. Launch your published "Webflow MCP Bridge App".
3. Wait for the app to connect to the MCP server.

Write your first prompt

Analyze my last 5 blog posts and suggest 3 new topic ideas with SEO keywords

Find older blog posts that mention similar topics and add internal links to my latest post

Create a hero section card on my home page with a CTA button and responsive design

Reset your OAuth token

To reset your OAuth token, run the following command in your terminal.

rm -rf ~/.mcp-auth

Node.js compatibility

Please see the Node.js compatibility guidance on Webflow's developer docs.

Local Installation

You can also configure the MCP server to run locally. This requires:

• Creating and registering your own MCP Bridge App in a Webflow workspace with Admin permissions
• Configuring your AI client to start the local MCP server with a Webflow API token

1. Create and publish the MCP bridge app

Before connecting the local MCP server to your AI client, you must create and publish the Webflow MCP Bridge App in your workspace.

Steps

1. Register a Webflow App

   • Go to your Webflow Workspace and register a new app.
   • Follow the official guide: Register an App.

2. Get the MCP Bridge App code

   • Option A: Download the latest bundle.zip from the releases page.
   • Option B: Clone the repository and build it:

     git clone https://github.com/virat21/webflow-mcp-bridge-app
     cd webflow-mcp-bridge-app
     

     • Then build the project following the repository instructions.

3. Publish the Designer Extension

   • Go to Webflow Dashboard → Workspace settings → Apps & Integrations → Develop → Your App.
   • Click “Publish Extension Version”.
   • Upload your built bundle.zip file.

4. Open the App in Designer

   • Once published, open the MCP Bridge App from the Designer → Apps panel in a site within your workspace.

2. Configure your AI client

Cursor

Add to .cursor/mcp.json:

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

Claude desktop

Add to claude_desktop_config.json:

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

3. Use the MCP server with the Webflow Designer

• Open your site in the Webflow Designer.
• Open the Apps panel (press E) and launch your published “Webflow MCP Bridge App”.
• Wait for the app to connect to the MCP server, then use tools from your AI client.
• If the Bridge App prompts for a local connection URL, call the get_designer_app_connection_info tool from your AI client and paste the returned http://localhost:<port> URL.

Optional: Run locally via shell

WEBFLOW_TOKEN="<YOUR_WEBFLOW_TOKEN>" npx -y webflow-mcp-server@latest

# PowerShell
$env:WEBFLOW_TOKEN="<YOUR_WEBFLOW_TOKEN>"
npx -y webflow-mcp-server@latest

Reset your OAuth Token

To reset your OAuth token, run the following command in your terminal.

rm -rf ~/.mcp-auth

Node.js compatibility

Please see the Node.js compatibility guidance on Webflow's developer docs.

❓ Troubleshooting

If you are having issues starting the server in your MCP client e.g. Cursor or Claude Desktop, please try the following.

Make sure you have a valid Webflow API token

1. Go to Webflow's API Playground, log in and generate a token, then copy the token from the Request Generator
2. Replace YOUR_WEBFLOW_TOKEN in your MCP client configuration with the token you copied
3. Save and restart your MCP client

Make sure you have the Node and NPM installed

• Node.js
• NPM

Run the following commands to confirm you have Node and NPM installed:

node -v
npm -v

Clear your NPM cache

Sometimes clearing your NPM cache can resolve issues with npx.

npm cache clean --force

Fix NPM global package permissions

If npm -v doesn't work for you but sudo npm -v does, you may need to fix NPM global package permissions. See the official NPM docs for more information.

Note: if you are making changes to your shell configuration, you may need to restart your shell for changes to take effect.

🛠️ Available tools

See the ./tools directory for a list of available tools

🗣️ Prompts & resources

This implementation doesn't include prompts or resources from the MCP specification. However, this may change in the future when there is broader support across popular MCP clients.

📄 Webflow developer resources

• Webflow API Documentation
• Webflow JavaScript SDK

⚠️ Known limitations

Static page content updates

The pages_update_static_content endpoint currently only supports updates to localized static pages in secondary locales. Updates to static content in the default locale aren't supported and will result in errors.