Webflow MCP (Model Context Protocol) connects AI tools like Claude, Cursor, and Windsurf directly to your Webflow projects, so you can design, build, and manage your site through natural language. Describe what you want, and your AI agent handles the implementation — no manual API calls, no custom authentication setup required.

It's built on Webflow's Data and Designer APIs, which means your AI agent works with your real site data, design system, and CMS content. Whether you're a developer looking to move faster or a marketer who wants to update content without touching the editor, Webflow MCP gives your AI agent the context it needs to take meaningful action on your site.

Webflow MCP supports design, content, governance, and performance workflows — all through natural language prompts. On the design side, you can create layouts, work with components, apply styles, manage design variables, and build across breakpoints. For content, you can create and update CMS collections and items at scale without opening the editor.

Beyond building, Webflow MCP supports governance and collaboration workflows. Create and manage page branches to iterate safely without affecting your live site, query site activity logs to see what changed and when, and enforce your team's existing roles and permissions so agents only access what they're authorized to touch. You can also analyze site performance conversationally, asking questions about traffic, top pages, and engagement trends, and share that data across your other tools.

The Webflow API is a set of programmatic interfaces that developers use to interact with Webflow data by writing code. Webflow MCP is built on top of those same APIs, but exposes them as tools that an AI agent can use on your behalf — so you don't need to write code to get things done. Describe what you want in plain language, and MCP translates that into the right API calls automatically.

With Webflow MCP, anyone with access to a compatible AI tool can prompt their way through design, content, and site management tasks, while keeping the same underlying data access and security controls the API provides.

Webflow MCP supports parts of a migration or CMS structuring workflow, but it's not built for full site migrations from one platform to another. You can use it to create and manage CMS collections, add and update collection items at scale, and structure content programmatically — which makes it useful for setting up or reorganizing your CMS architecture with the help of an AI agent.

For teams moving content into Webflow or restructuring an existing site, MCP accelerates the process by letting you create collections, populate fields, and manage content through natural language prompts rather than manual data entry. Full one-shot platform migrations are outside what MCP is built for, so it works best as a tool for structured, incremental content work.

Webflow MCP doesn't yet cover every capability available, but its capabilities are actively expanding. Check the developer documentation for the latest on what's supported.