How to Use the AiMasher MCP in Mastra AI

Q: How do I build a fault-tolerant content generator with AiMasher and Mastra AI?

You define your steps in a Mastra AI workflow, like createcampaign then generatecontent. Mastra's engine provides built-in retry logic and conditional branching, so you can define exactly how your agent should handle failures from the AiMasher API.

Build reliable content bots with AiMasher and Mastra AI. Create workflows that handle errors, retry tasks, and run without constant supervision.

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Connect AiMasher MCP to Mastra AI

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Setup AiMasher with Mastra AI

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Build a Fault-Tolerant Content Pipeline

Things break. With Mastra AI, your content bots don't have to. Build a workflow that calls AiMasher's `create_campaign`, then `generate_content`. If the generation step fails because of a network blip, Mastra's engine automatically retries with backoff. If it still fails after a few tries, the workflow can branch to a different step, like notifying an admin or trying a different template. You build this logic once and your content pipeline just runs.

Conditional Logic for Smarter Campaigns

Not all campaigns are the same. Use Mastra AI's workflow engine to add conditional logic to your AiMasher operations. For example, have your bot `get_account` info first. If the user is on a premium plan, use a specific, high-quality template via `get_template`. Otherwise, it can fall back to a default. This lets you build sophisticated, multi-step bots that adapt based on real data, all connected to a single AiMasher MCP Server.

Automate Batch Content Creation with Mastra AI

Stop generating content one piece at a time. Create a Mastra AI workflow that pulls a list of 50 blog post ideas from a database. For each idea, it calls AiMasher's `create_campaign` and `generate_content` tools. Mastra AI manages the entire loop, keeping track of state and handling any failures for individual items without stopping the whole batch. You can kick off a huge job and trust that it will finish.

Setup guide

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

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

const result = await agent.generate(
  "List recent AiMasher 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 AiMasher. 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 AiMasher MCP in Mastra AI

You define your steps in a Mastra AI workflow, like `create_campaign` then `generate_content`. Mastra's engine provides built-in retry logic and conditional branching, so you can define exactly how your agent should handle failures from the AiMasher API.

Yes. Mastra AI has automatic retries with exponential backoff built in. You can configure it to retry a failed API call to AiMasher a set number of times before marking the task as failed or moving to an error-handling step.

It's straightforward. After installing the Mastra client, you instantiate it with your Vinkius URL for AiMasher. Mastra handles the tool discovery, so you can immediately start using tools like `list_campaigns` in your agent's workflow.

Yes. Mastra AI supports human-in-the-loop actions. You can configure your workflow to pause before a critical step, like calling `generate_content`, and wait for a person to approve it before continuing.

Your generated content and campaign results are processed within a zero-trust architecture. Vinkius isolates every request to the AiMasher server, ensuring your data is never exposed to other tenants or logged after the job is done.

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