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
Basic information
Model Context Protocol (MCP) server for the Webflow Data API.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-webflow": {
"command": "npx",
"args": [
"-y",
"webflow-mcp-server@latest"
],
"env": {
"WEBFLOW_TOKEN": "<YOUR_WEBFLOW_TOKEN>"
}
}
}
}Tool list not available yet
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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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