How to Use the Unbounce MCP in Mastra AI

Q: Can Mastra AI handle multiple Unbounce data sources?

Yep. You can design a single workflow that first calls listaccounts, then iterates through those results to call getpage for each account, all within one automated, failure-proof sequence.

Q: Does Mastra AI support advanced Unbounce error handling?

Absolutely. If a tool like listpages times out or returns an unexpected format, the workflow doesn't crash. It automatically retries or executes a defined fallback action.

Q: If I need to check my Unbounce domains, how does Mastra AI handle it?

You simply include listdomains in your workflow chain. If the domain list is empty or if fetching fails, the defined fallback path ensures your overall process continues without interruption.

Build complex, resilient Unbounce automation workflows with Mastra AI's failure handling and retries.

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Connect Unbounce MCP to Mastra AI

Create your Vinkius account to connect Unbounce 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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Setup Unbounce with Mastra AI

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Handle Failed Connections Automatically

If a required API call fails—say, fetching page details via `get_page`—Mastra AI doesn't stop. It automatically triggers retries with exponential backoff. This resilience is key for production systems. Your agent can execute multi-step operations across the MCP Server without needing manual failure handling logic.

Execute Conditional Logic on Unbounce Data

You write workflows that react to data. If a check using `list_page_groups` returns zero results, the workflow branches and executes an alternative path instead of failing. This conditional branching lets you build sophisticated processes: for example, if `get_lead` fails validation, it routes the error to an admin notification tool.

Run Complex Tool Chains in One Command

The MCP Server exposes many tools—from listing accounts (`list_accounts`) to getting specific page details. Mastra AI chains these together into one reliable workflow. It handles the entire sequence, ensuring that if one step fails, it attempts a recovery or notifies you, keeping your automation running.

Setup guide

Set up Unbounce 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Unbounce tools become native Mastra tools.
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: "unbounce-alternative-mcp-client",
  servers: {
    "unbounce-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Unbounce MCP in Mastra AI

Mastra AI treats the MCP Server as a set of reliable tools. You define workflows that call specific functions like `list_sub_accounts` or `get_form_fields`. The workflow engine handles execution, retries, and failure management.

Yep. You can design a single workflow that first calls `list_accounts`, then iterates through those results to call `get_page` for each account, all within one automated, failure-proof sequence.

Absolutely. If a tool like `list_pages` times out or returns an unexpected format, the workflow doesn't crash. It automatically retries or executes a defined fallback action.

This MCP Server touches several critical types: account details (`list_accounts`), lead records (`list_leads`), and page structure definitions. The workflow ensures these are handled reliably.

You simply include `list_domains` in your workflow chain. If the domain list is empty or if fetching fails, the defined fallback path ensures your overall process continues without interruption.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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