How to Use the Sirv MCP in Mastra AI

Q: How does mastra-ai handle failures when accessing Sirv data?

It handles failures gracefully. If a tool call fails—say, getbillinginfo returns an error—the system automatically retries the operation using exponential backoff before failing the whole workflow.

Q: Does mastra-ai support human intervention when running Sirv tools?

Yes. The framework supports requireToolApproval, letting you build a human-in-the-loop step. This is critical for destructive actions like calling deletefile.

Build reliable multi-step pipelines for Sirv using the mastra-ai SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Sirv MCP to Mastra AI

Create your Vinkius account to connect Sirv to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Sirv with Mastra AI

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Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Automated Resource Audits

To audit your setup, use `list_custom_domains` to get all configured domains. Then, in a subsequent step, you can run `read_directory` using an absolute path like `/config/`. The SDK handles the sequential execution and error checking for these steps. This is key when building reliable background jobs that must check multiple system components over time.

Usage Reporting Pipelines

You can build a failure-proof pipeline to get usage data. First, call `get_account_stats`, and if that succeeds, the next step retrieves detailed metrics using `get_detailed_usage`. The SDK automatically manages retries if either service hiccups. This workflow ensures your reporting process completes even if one endpoint is temporarily unavailable.

User and File Management

A simple multi-step task might start by listing all users via `list_account_users`. Then, you could use the file management tools. For example, calling `get_file_details` for a specific asset ID validates its existence before proceeding with any other action. This guarantees that your complex operational tasks don't fail halfway through because of bad inputs.

Setup guide

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

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

const result = await agent.generate(
  "List recent Sirv 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 Sirv. 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.

Why Choose Vinkius

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Common questions about Sirv MCP in Mastra AI

It handles failures gracefully. If a tool call fails—say, `get_billing_info` returns an error—the system automatically retries the operation using exponential backoff before failing the whole workflow.

Absolutely. You can chain multiple tools together into a single, reliable process. The SDK is built specifically for multi-step operations that need to run reliably in production.

It’s great for structured, operational data like account stats and file metadata. Since the SDK is designed for reliability, it handles complex inputs well.

Yes. The framework supports `requireToolApproval`, letting you build a human-in-the-loop step. This is critical for destructive actions like calling `delete_file`.

This MCP Server handles core account data: billing details, user records (`list_account_users`), and usage metrics. It's all about operational control.

Use it with your favorite AI tools

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