How to Use the Webflow MCP in Vercel AI SDK

Q: How do I use Webflow with the Vercel AI SDK?

Your agent can call listsites to get a list of all accessible webflow sites. This result streams immediately, so your user sees the data populating right in the UI without waiting for a loading spinner.

Q: Can I check site status using Webflow and Vercel AI SDK?

Yep. You run getsitedetails to pull specific metadata about any given webflow site. This lets your client show real-time context for the entire ecosystem.

Q: Does the MCP Server support listing e-commerce data with Webflow and Vercel AI SDK?

Yes, absolutely. You use listecommerceorders to pull order data immediately when a user interacts with your application. This is great for building real-time checkout widgets.

Q: What if I need to list all available collections?

You call listcmscollections. It tells you exactly what content structures are available on the site, letting your app build a dashboard that monitors team membership and content flow.

Q: What data does this Webflow MCP Server touch for privacy?

This server touches e-commerce orders. The listecommerceorders tool lets you list recent order details, so the user knows exactly what kind of transactional data your agent is accessing.

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Connect Webflow MCP to Vercel AI SDK

Create your Vinkius account to connect Webflow to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Webflow with Vercel AI SDK

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Build Live Webflow Data Displays

When you call `list_sites`, you get a list of every webflow site managed by the user. You can then use `get_site_details` to pull specific metadata about any given location. This lets your client show real-time context for the entire Webflow ecosystem. Need details on what's uploaded? The `list_site_assets` tool shows all current site assets, letting you display things like total image count or list file types directly in your UI.

Manage Content and Users

Use `list_cms_collections` to see what content structures exist on a Webflow site. From there, the `list_collection_items` tool lets you grab specific pieces of content, like blog posts or product listings. This is critical for dynamic data display. Furthermore, checking out user management is easy; `list_site_users` shows who has access to the site, letting your app build a dashboard that monitors team membership.

Process E-commerce and Orders

The system provides `list_ecommerce_orders`, so you can fetch order data immediately when a user interacts with your application. You'll get the list of recent orders, which is perfect for building real-time checkout widgets. If you need to add new content manually, `create_collection_item` lets your client populate CMS collections directly via code. This keeps your frontend perfectly synced up.

Setup guide

Set up Webflow MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Webflow tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Webflow transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Webflow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Webflow MCP in Vercel AI SDK

Your agent can call `list_sites` to get a list of all accessible webflow sites. This result streams immediately, so your user sees the data populating right in the UI without waiting for a loading spinner.

Yep. You run `get_site_details` to pull specific metadata about any given webflow site. This lets your client show real-time context for the entire ecosystem.

Yes, absolutely. You use `list_ecommerce_orders` to pull order data immediately when a user interacts with your application. This is great for building real-time checkout widgets.

You call `list_cms_collections`. It tells you exactly what content structures are available on the site, letting your app build a dashboard that monitors team membership and content flow.

This server touches e-commerce orders. The `list_ecommerce_orders` tool lets you list recent order details, so the user knows exactly what kind of transactional data your agent is accessing.

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