
The Model Context Protocol (MCP) server connects your AI tools directly to your Webflow projects. Prompt an AI agent to update designs, manage site data, and work with the CMS from your preferred AI environment.
For developers using AI-powered tools like Claude Code, Claude Desktop, Cursor, or Windsurf, the MCP server enhances an agent’s understanding of your Webflow projects. It’s built on Webflow’s APIs, exposing them as tools your AI agent can use to create elements, styles, and variables on the canvas, as well as manage collections, custom code, assets, and other site data.
Why use the MCP server?
Skip writing API calls and managing authentication. Just describe what you want in natural language, and your AI agent handles the implementation using Webflow’s Data and Designer APIs.
Use Designer API tools to create and modify visual elements on the canvas:
The MCP server can not automate all Webflow developer tools. Here are some of its major limitations:
Browse ready-to-use prompts for image optimization, SEO audits, style refactoring, and more.
Install skills that help you accomplish common Webflow tasks through natural language.
Understand the architecture, authentication, and how the MCP server connects to Webflow’s APIs.