How to Use the MPU-Manager MCP in Mastra AI

Q: How do I configure MPU-Manager inside Mastra AI?

Install @mastra/mcp@latest. Create a new MCPClient instance and pass your Vinkius URL into the servers object. Then call mcpClient.listTools() and spread the results into your agent's tools array.

Q: Can Mastra AI retry failed MPU-Manager appointments?

Yes. If the createappointment tool hits a rate limit or network error, Mastra automatically retries the request using exponential backoff. You configure the retry limits in your workflow definition.

Q: How do I require human approval for MPU-Manager cases in Mastra AI?

Set the requireToolApproval flag on the createcase tool in your agent config. The workflow will pause execution and wait for a manager to approve the payload before sending it to the backend.

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Setup MPU-Manager with Mastra AI

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Automate MPU-Manager Case Workflows

The `create_case` tool acts as the trigger for your Mastra AI workflow engine. When a new broadcast project starts, the agent automatically generates the case and assigns an ID. If the creation fails due to missing parameters, Mastra catches the error and retries with exponential backoff. Once successful, the next node in your pipeline automatically runs `get_case` to verify the inputs.

Conditional Crew Scheduling

Your agent queries `list_appointments` to find open slots for the camera operators. Mastra AI evaluates the returned schedule and branches the logic based on availability. If a slot is open, the workflow executes `create_appointment` to lock it in. If the crew is fully booked, the agent routes the request to a human manager using the `requireToolApproval` flag.

Resilient Client Syncing via MCP Server

Pulling records with `list_clients` requires a stable connection. Your agent runs `check_mpumanager_status` first to confirm the API is reachable before starting the sync job. You pass the MCP Server endpoint into `new MCPClient()` and let Mastra handle the transport layer. The framework auto-detects Streamable HTTP or SSE, ensuring your client data syncs without manual configuration.

Setup guide

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

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

const result = await agent.generate(
  "List recent MPU-Manager 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 MPU-Manager. 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 MPU-Manager MCP in Mastra AI

Install `@mastra/mcp@latest`. Create a new `MCPClient` instance and pass your Vinkius URL into the servers object. Then call `mcpClient.listTools()` and spread the results into your agent's tools array.

Yes. If the `create_appointment` tool hits a rate limit or network error, Mastra automatically retries the request using exponential backoff. You configure the retry limits in your workflow definition.

Set the `requireToolApproval` flag on the `create_case` tool in your agent config. The workflow will pause execution and wait for a manager to approve the payload before sending it to the backend.

The framework auto-detects the correct transport. It will negotiate either Streamable HTTP or Server-Sent Events based on what the Vinkius endpoint supports.

The integration accesses client contact details, broadcast case notes, and production schedules. Vinkius enforces a zero-trust architecture where the tool execution runs in an isolated environment. The execution context vanishes the moment your workflow step finishes.

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