How to Use the Sharpei MCP in Mastra AI

Q: How does mastra-ai manage retries when checking Sharpei application status?

The framework handles it natively. If the initial getapplication call fails due to a temporary network blip, mastra-ai automatically backs off and tries again, keeping your workflow running.

Q: Can I build a payment retry logic using Sharpei and the mastra-ai client?

Yep. You can sequence calls: check getsubscription status; if it fails, initiate an admin alert (a secondary task); then, wait 5 minutes before retrying the subscription check.

Q: What happens when I need to process multiple document types with Sharpei and mastra-ai client?

You can build a loop. Start by calling listdocuments, then iterate through every ID, fetching the details using getdocument. The workflow ensures that even if one document fails, the rest of the sequence continues.

Q: If I need to handle expired subscription logic with Sharpei and mastra-ai client, what data type should I expect?

You're dealing with subscription records. You use getsubscription to pull the current state and determine when the renewal cycle needs attention.

Build resilient payment flows. Advanced workflow handling for the mastra-ai client.

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Setup Sharpei with Mastra AI

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Automating Application Creation

When you need to automate setup, use `create_application` via your mastra-ai client. This tool kicks off a multi-step process: create the app record, then immediately call `get_application` to confirm its ID. The framework handles potential failures and retries automatically.

Complex Subscription Management Workflows

Handling recurring payments requires robust logic. Use `get_subscription` within a workflow sequence in mastra-ai. If the subscription check fails, you can trigger an admin notification flow before retrying the payment calculation.

Managing and Listing All Resources

Building an operations dashboard? First, list everything with `list_applications` or `list_subscriptions`. Then, use a conditional branch: if a subscription status is 'pending,' run the `get_verification_status` check. This gives you powerful failure handling.

Setup guide

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

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

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

The framework handles it natively. If the initial `get_application` call fails due to a temporary network blip, mastra-ai automatically backs off and tries again, keeping your workflow running.

Yep. You can sequence calls: check `get_subscription` status; if it fails, initiate an admin alert (a secondary task); then, wait 5 minutes before retrying the subscription check.

You can build a loop. Start by calling `list_documents`, then iterate through every ID, fetching the details using `get_document`. The workflow ensures that even if one document fails, the rest of the sequence continues.

It's built for it. You can set up conditional branching: 'If `check_sharpei_status` returns bad, then notify admin; otherwise, proceed to list webhooks.' It handles the flow state.

You're dealing with `subscription` records. You use `get_subscription` to pull the current state and determine when the renewal cycle needs attention.

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