How to Use the Adikteev MCP in Mastra AI

Q: How do I add Adikteev to Mastra AI?

Install @mastra/mcp@latest. Create a new MCPClient and pass your Vinkius URL in the servers config. Then call listTools() and spread them into your agent's tool array.

Build resilient Adikteev retargeting workflows with Mastra AI. Handle churn prediction and audience building automatically.

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Connect Adikteev MCP to Mastra AI

Create your Vinkius account to connect Adikteev 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 Adikteev with Mastra AI

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Automated churn response workflows

High-value users do not wait around for you to notice they are leaving. You can build a Mastra AI workflow that runs every morning to check retention metrics. It hits `get_churn_scores` to find accounts on the verge of canceling. If the score crosses a certain threshold, the workflow branches. It automatically triggers `create_segment` to drop those specific users into a high-priority retargeting campaign. No human intervention required, and Mastra handles any temporary API timeouts with exponential backoff.

Reliable Adikteev MCP Server reporting

Pulling marketing data across different platforms usually breaks when an endpoint hiccups. Mastra AI fixes that. When your agent calls `get_reporting` to check campaign performance on this Adikteev MCP Server, the built-in workflow engine wraps the request in automatic retries. You get the clicks and conversion numbers without writing custom error handling. If the request fails, it waits and tries again. Once it succeeds, the data moves to the next step in your pipeline.

Human-in-the-loop segment creation

Sometimes you want a person to double-check an audience before spending money on it. You can configure `requireToolApproval` for specific operations. The agent might suggest a new list based on recent data and prepare the `create_segment` call. Execution pauses right there. A manager reviews the parameters, approves the action, and the workflow resumes. You also use `list_companies` and `list_segments` to verify the target accounts before hitting the green light.

Setup guide

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

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

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

Install `@mastra/mcp@latest`. Create a new `MCPClient` and pass your Vinkius URL in the servers config. Then call `listTools()` and spread them into your agent's tool array.

That is exactly what it does best. If a request for campaign performance drops, Mastra AI uses exponential backoff to try again. Your workflow will not crash over a temporary network blip.

Yes. You can configure your workflow to check user retention stats, then branch based on the results. High-risk users go into a new segment, while stable users get skipped.

Mastra AI includes a one-command deploy system. You can push your finished retargeting workflow to any major cloud provider without wrestling with Dockerfiles.

The Vinkius platform isolates every execution. When your agent manages audience segments or pulls reporting stats, the data lives inside a strict V8 sandbox. The environment is destroyed completely once the workflow step resolves.

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