How to Use the Northbeam MCP in Mastra AI

Q: Does Northbeam support human-in-the-loop with Mastra AI?

Yes. You can require approval for tools like createdataexport. The agent pauses until you verify the action in the Mastra UI.

Build resilient marketing workflows in Mastra AI with Northbeam attribution tools.

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Connect Northbeam MCP to Mastra AI

Create your Vinkius account to connect Northbeam 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 Northbeam with Mastra AI

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Automated attribution modeling in Mastra AI

Create agent workflows that switch between models using `list_attribution_models`. You define the logic for when to use clicks versus modeled data. If the data looks off, your Mastra agent can branch to a different model automatically. It keeps your marketing analysis sharp and responsive.

Mastra AI workflow for data exports

Build a multi-step process that triggers `create_data_export` and waits for completion. You use `get_export_status` to check if the file is ready. If the export fails, your agent can retry the request. It handles the heavy lifting so you don't have to monitor the progress manually.

Analyze performance with Mastra AI agents

Use `list_breakdowns` to group your ad spend by platform or campaign. Your agent can then compare these segments against `list_metrics` to find inefficiencies. This turns raw data into actionable tasks. You get a clear picture of what's working without digging through spreadsheets.

Setup guide

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

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

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

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Common questions about Northbeam MCP in Mastra AI

You add the server URL to your agent configuration. Mastra then auto-detects the tools like `list_metrics` and makes them available for your agents.

You can use Mastra's built-in retry logic. If a Northbeam call fails, the agent will wait and try again based on your defined policy.

Your data is only accessed via the authorized connection. The MCP server ensures that no third party can touch your attribution records.

Yes. You can require approval for tools like `create_data_export`. The agent pauses until you verify the action in the Mastra UI.

Your endpoint token is handled by the Vinkius sandbox. It never touches your local machine or agent memory directly, keeping your sensitive data isolated.

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