How to Use the Webflow MCP in Vercel AI SDK
Stream Webflow Data Live in Your UI with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Real-Time Webflow CMS Updates
When your user needs site data, this tool fetches it and streams the results instantly. You can use `list_collection_items` or `get_site` to pull information that appears in the UI as it loads. This real-time stream works perfectly for edge functions. Your AI client displays CMS details—like names from a collection—without needing a slow, static loading spinner.
Publishing Webflow Sites via MCP Server
Need to push changes live? The `publish_site` tool lets your agent deploy the site directly. You're not confined to the Webflow designer; you trigger production publication using simple SDK calls. It’s great for automated deployment pipelines. After updating a collection, you can immediately call `publish_site` so the live version reflects the changes right away.
Managing Site Structure and Pages
Your agent needs to know what's on the site before it acts? Use `list_pages` or `list_collections`. These tools give your client a full map of content. This lets you build complex frontends that react to Webflow’s actual structure. Check out `list_domains` if you need to manage multiple web properties for the user. It keeps all site information centralized and easily accessible.
Set up Webflow MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 togenerateText()orstreamText()— 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.
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(); 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Webflow MCP in Vercel AI SDK
Use it with your favorite AI tools
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Start using the Webflow MCP today
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