How to Use the HiDeliver MCP in Mastra AI

Q: Can I track campaign costs inside my Mastra workflows?

Yes, you can. Have your agent call listtransactions and gettransaction to audit expenditures and keep your internal databases updated.

Build automated, self-healing email workflows with HiDeliver and Mastra AI.

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Connect HiDeliver MCP to Mastra AI

Create your Vinkius account to connect HiDeliver 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 HiDeliver with Mastra AI

Ask AI about this MCP

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Claude

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Fail-safe automated broadcasts

Stop worrying about API timeouts ruining your marketing campaigns. Mastra AI runs your email queues through resilient workflows, automatically retrying if a network hiccup interrupts your dispatch. The workflow uses `create_delivery` to initiate the broadcast. If the call fails, Mastra handles the backoff, checks your status with `get_profile`, and verifies if the run actually went through by calling `get_delivery`.

Conditional budget gating with this MCP Server

Never let an automated agent run up a massive bill by accident. You can build strict conditional branches that check your financial limits before executing any high-volume email runs. The agent calls `get_account_balance` to check your available funds. If the balance is too low, the workflow halts and routes the task to an admin, while `list_transactions` logs the decision path.

Human-in-the-loop campaign edits

Sometimes you need a human to double-check a draft before it goes live. You can set up workflows using this MCP Server to queue a campaign and wait for manual sign-off before sending. The agent drafts the campaign using `create_delivery` and holds it. Once approved, the workflow uses `update_delivery` to mark it ready, or `cancel_delivery` if the reviewer rejects the copy.

Setup guide

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

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

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

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Common questions about HiDeliver MCP in Mastra AI

Initialize the client with your hosted URL and spread the tools into your Mastra agent definition. The framework handles the transport details automatically.

Yes, Mastra has built-in retry logic with exponential backoff. If `create_delivery` fails, it retries the call without crashing your workflow.

Use the requireToolApproval option on your agent. This pauses the workflow when the agent tries to run `create_delivery`, waiting for your manual OK.

Yes, you can. Have your agent call `list_transactions` and `get_transaction` to audit expenditures and keep your internal databases updated.

Your API tokens are injected securely on Vinkius and never exposed to the LLM. The agent only interacts with the tools, keeping your account profile details secure.

Use it with your favorite AI tools

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