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How to Use the Webflow MCP in Mastra AI

Build resilient workflows that handle Webflow data failures with Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Webflow MCP to Mastra AI

Create your Vinkius account to connect Webflow to Mastra AI 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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Workflow for Site Discovery

To start, use `list_sites` to discover all webflow sites. A workflow can then check the status of each one using `get_site_details`. Mastra AI handles retries if a site is temporarily offline. The agent can loop through results and then call `list_cms_collections` for every single discovered site, ensuring no collections are missed.

Handling Site Assets

Need to track uploaded files? Call `list_site_assets`. This tool gives you a list of all current site assets. If the initial request fails due to rate limits, Mastra AI retries with exponential backoff. The workflow can also use `list_collection_items` to count how many pieces of content exist in a collection, providing metrics for deployment health checks.

Monitoring Webflow Users and Orders

The system exposes `list_site_users`, letting you build workflows that monitor team membership. If a user is flagged, the workflow can automatically notify an admin. For sales monitoring, use `list_ecommerce_orders` to pull order data. Mastra AI's built-in branching lets you retry fetching orders if the payment gateway times out.

Setup guide

Set up Webflow MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Webflow tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "webflow-alternative-mcp-client",
  servers: {
    "webflow-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Webflow Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Webflow tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Webflow transactions"
);
console.log(result.text);

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

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Real-time monitoring

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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 Mastra AI

You can use `list_cms_collections` and then iterate through them, calling `list_collection_items`. If one collection fails to load, the workflow automatically retries or branches to alert an admin.
Yes. When running a complex multi-step process involving `list_sites` and subsequent calls, Mastra AI handles automatic retries, ensuring the whole workflow doesn't die over one temporary failure.
Use `list_sites`. Since Mastra AI is designed for complex workflows, it ensures that even if the first attempt fails due to transient network issues, subsequent retries will pull the comprehensive list.
It does. You use `list_ecommerce_orders` within a workflow that supports conditional branching. If an order pull fails, you can execute alternative actions like notifying staff.
This server touches e-commerce orders and site assets. The `list_site_assets` tool lets you list uploaded files, while the `list_ecommerce_orders` tool accesses transactional order details.

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