How to Use the Constructor MCP in Mastra AI

Build resilient e-commerce workflows in Mastra AI by automating Constructor search and billing audits.

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Connect Constructor MCP to Mastra AI

Create your Vinkius account to connect Constructor 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 Constructor with Mastra AI

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Automated billing audits for Mastra AI

Run `search_sorted` to pull structured billing rules into your agent’s decision tree. If a rule doesn't match the expected output, your workflow can branch to an error handler automatically. This keeps your financial records clean without manual intervention. The agent identifies discrepancies and flags them before they hit your database.

Complex workflow branching with Constructor

Use `search_pagination` to loop through large product sets. Your agent can validate each page of results against your Gateway history and retry if a request fails. This is essential for multi-step tasks that require high data integrity. You define the logic once and let the MCP Server handle the heavy lifting of retries.

Structural extraction for Mastra AI agents

Deploy `autocomplete` to pull properties that drive your active account logic. The agent uses this data to decide which branch of the workflow to execute next. It removes the guesswork from your agent's decision-making process. You get precise data that directly influences your business logic flow.

Setup guide

Set up Constructor 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 Constructor 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: "constructor-mcp-client",
  servers: {
    "constructor-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Constructor MCP in Mastra AI

Yes, you can chain the search tools to ingest current product data into your workflow. The agent then processes these inputs according to your defined rules.

You list the server in your agent definition and spread the tools into your agent's toolkit. The framework handles the invocation based on your step logic.

The framework manages the retry logic for you. If a tool call fails, you can configure the agent to attempt the operation again with backoff.

The agent receives an error, which you can catch with a conditional branch. You can then log the failure or alert an admin.

The agent only processes the specific CRM records required for the task. All data is ephemeral and cleared from the agent's memory after the workflow completes.

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