How to Use the DoiT MCP in Mastra AI

Q: How does Mastra AI handle DoiT cost anomalies?

The Mastra AI agent polls listcostanomalies to detect sudden DoiT spend spikes. Mastra AI then executes a workflow to pinpoint the exact DoiT-tracked resource causing the spike and alerts the engineering team.

Q: Can I automate multi-cloud audits with DoiT and Mastra AI?

Yes, you combine listconnectedcloudaccounts and listcloudassets inside a Mastra AI workflow to audit DoiT accounts. Mastra AI loops through every connected DoiT account and verifies asset configurations against your baseline.

Q: How do I configure human approval for DoiT actions in Mastra AI?

You use the requireToolApproval setting when registering the MCP Server tools within Mastra AI to manage DoiT actions. The Mastra AI framework halts execution and requests admin permission before displaying sensitive DoiT cloud cost data.

Build self-healing cloud cost workflows in Mastra AI using direct DoiT API triggers and automated retries.

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Setup DoiT with Mastra AI

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Run Self-Healing DoiT Workflows in Mastra AI

The `list_critical_cost_spikes` tool acts as the primary telemetry input for your automated Mastra AI agent workflows tracking DoiT. Mastra AI monitors this MCP Server to detect sudden DoiT cost overruns and immediately triggers downstream remediation chains. If the initial DoiT query fails due to network hiccups, the Mastra AI framework uses its built-in exponential backoff to retry the request. You write the DoiT monitoring logic once, and the Mastra AI agent handles the execution loops without dropping critical alerts.

Audit DoiT Cloud Assets Automatically with Mastra AI

The `list_cloud_assets` tool retrieves your entire multi-cloud inventory from DoiT directly into your Mastra AI workflow. Mastra AI processes this DoiT asset list, matching resources against configured budgets to find unallocated or orphan instances. The Mastra AI agent then calls DoiT's `get_asset_details` to verify the metadata of suspicious resources. It builds a structured report of untagged DoiT infrastructure, routing it directly to your engineering team's Mastra AI queue.

Enforce DoiT Cost Limits with Mastra AI Approvals

The `list_exceeded_cost_budgets` tool identifies which DoiT-tracked cloud accounts have crossed their spending limits. This MCP Server feeds that DoiT list directly into Mastra AI's workflow engine to trigger escalation paths. You can configure a manual Mastra AI approval step before taking action on these DoiT accounts. The Mastra AI agent pauses the workflow, alerts an administrator, and waits for a confirmation signature before proceeding with DoiT resource modifications.

Setup guide

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

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

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

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Common questions about DoiT MCP in Mastra AI

The Mastra AI agent polls `list_cost_anomalies` to detect sudden DoiT spend spikes. Mastra AI then executes a workflow to pinpoint the exact DoiT-tracked resource causing the spike and alerts the engineering team.

Yes, you combine `list_connected_cloud_accounts` and `list_cloud_assets` inside a Mastra AI workflow to audit DoiT accounts. Mastra AI loops through every connected DoiT account and verifies asset configurations against your baseline.

You use the `requireToolApproval` setting when registering the MCP Server tools within Mastra AI to manage DoiT actions. The Mastra AI framework halts execution and requests admin permission before displaying sensitive DoiT cloud cost data.

The Mastra AI client automatically handles DoiT HTTP 429 responses using its built-in retry mechanisms. Mastra AI backs off and retries the DoiT tool call without failing your overall automation workflow.

Your DoiT API keys and organization metadata remain isolated within the Vinkius MCP Server sandbox when accessed by Mastra AI. This setup ensures that your DoiT cloud cost details and asset structures are never exposed to external networks or unverified Mastra AI clients.

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