How to Use the HubSpot Marketing Hub MCP in Mastra AI

Q: Is my lead data secure when using HubSpot Marketing Hub with Mastra AI?

The server pulls raw visitor field values via hsformsubmissions and contact counts from your lists. Vinkius runs this MCP Server in an ephemeral, zero-trust sandbox, meaning your workflows access the data securely without exposing API keys to the open web.

Build resilient marketing workflows. Connect Mastra AI to HubSpot Marketing Hub to fetch campaign data with automatic retries and logic.

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Connect HubSpot Marketing Hub MCP to Mastra AI

Create your Vinkius account to connect HubSpot Marketing Hub 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 HubSpot Marketing Hub with Mastra AI

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Automate campaign audits with Mastra AI

Marketing data pipelines break when APIs fail or rate limits hit. This MCP Server gives your Mastra AI workflows reliable access to HubSpot without writing custom retry logic. You can build a workflow that runs `hs_list_campaigns` every morning. If the request fails, Mastra automatically retries with exponential backoff before moving on to check the associated landing pages with `hs_list_landing_pages`.

Branch logic based on list sizes

Smart workflows adapt to the data they find. You can set up your agent to make routing decisions based on your actual HubSpot audience metrics. The agent calls `hs_list_contact_lists` to check a dynamic list size. If the contact count drops below a certain threshold, Mastra branches the workflow to trigger an alert, rather than proceeding with a scheduled email send.

Chain form tools for lead analysis

Extracting lead data usually requires multiple API hops. You can configure a multi-step workflow that strings these operations together in a single run. First, the agent executes `hs_list_forms` to grab the ID of your newest lead magnet. Then it immediately feeds that ID into `hs_form_submissions` to pull the visitor field values, pushing the results into your data warehouse.

Setup guide

Set up HubSpot Marketing Hub 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 HubSpot Marketing Hub 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: "hubspot-marketing-hub-mcp-client",
  servers: {
    "hubspot-marketing-hub-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HubSpot. 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.

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Common questions about HubSpot Marketing Hub MCP in Mastra AI

Install @mastra/mcp and initialize a new MCPClient with your server URL. Call mcpClient.listTools() and spread those tools directly into your Mastra Agent configuration.

Yes. Mastra has a built-in workflow engine. If a tool like hs_list_marketing_emails hits a limit, the framework automatically applies exponential backoff and retries the request.

No. Mastra auto-detects whether the MCP endpoint uses SSE or Streamable HTTP. You just provide the URL and it handles the connection layer.

You can use the requireToolApproval setting in Mastra. This pauses the workflow before running something like hs_form_submissions, letting a human review the request before the agent executes it.

The server pulls raw visitor field values via hs_form_submissions and contact counts from your lists. Vinkius runs this MCP Server in an ephemeral, zero-trust sandbox, meaning your workflows access the data securely without exposing API keys to the open web.

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