How to Use the Loop MCP in Mastra AI

Build resilient feedback workflows with automated retries and conditional logic using the Loop MCP Server and Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Loop MCP to Mastra AI

Create your Vinkius account to connect Loop 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 Loop with Mastra AI

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Mastra AI multi-step feedback loops

Design workflows that react to customer input automatically. Using `list_feedback_themes`, your agent identifies recurring issues and decides whether to escalate them or log them for later review. This logic handles the heavy lifting of sorting through noise. You define the branches, and the agent executes them based on the real-time data it receives.

Error-resilient ticket creation

Generate developer tickets with `list_dev_tickets` as part of a larger automated chain. If an API call fails, the framework automatically retries the operation to ensure no feedback is lost. Your infrastructure remains stable even when external services flicker. You get reliable ticket creation without writing custom retry logic for every request.

Human-in-the-loop validation

Require manual approval before creating tickets with `get_ticket_details` by using the framework's built-in tool approval settings. You keep final control over what gets pushed to engineering. This balances automation with oversight. You let the agent prepare the work, then confirm the action with a single command.

Setup guide

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

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

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Loop MCP in Mastra AI

You can enable tool approval for sensitive operations like ticket creation. The agent pauses until you review the proposed action.

Yes, the workflow engine lets you sequence calls. You might call `list_feedback` followed by `add_internal_note` within a single agent run.

The framework manages retries for network-level failures. If an MCP call fails, it attempts the request again according to your configuration.

Vinkius secures the connection with an endpoint token. Your data is never stored on the Vinkius platform, keeping it ephemeral and private.

The server processes customer survey responses and sentiment scores. All traffic is encrypted to ensure these sensitive records remain protected.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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