How to Use the Delighted MCP in Mastra AI

Q: Can I use Mastra AI workflows to automate Delighted survey invitations?

Yes. You can register the addpersontosurvey tool inside your Mastra AI agent to automatically schedule surveys when specific workflow conditions, like a completed checkout, are met.

Q: How do I initialize the MCP client in Mastra AI?

Instantiate new MCPClient with the server's URL, then fetch the tools with listTools() and spread them directly into your agent's tool configuration array.

Build resilient Mastra AI workflows that automatically act on Delighted customer feedback and trigger surveys.

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Connect Delighted MCP to Mastra AI

Create your Vinkius account to connect Delighted 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 Delighted with Mastra AI

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Automated Delighted loops in Mastra AI

The `get_person_feedback_history` tool pulls a customer's entire historical Delighted NPS record into your Mastra AI workflow. This lets your Mastra AI agent analyze past sentiment before deciding whether to trigger an escalation or a discount code. Branch your Mastra AI workflow based on this history, routing high-value Delighted detractors to senior support agents automatically. If the API call fails, Mastra's built-in retry engine backs off and tries again without losing the customer's state.

Smart Detractor handling with Mastra AI

The `list_recent_detractors` tool scans Delighted for scores between 0 and 6 to feed your Mastra AI automated response loop. When a detractor is found, the Mastra AI workflow kicks off a multi-step recovery process. Your Mastra AI agent uses this tool to pull the bad Delighted score, matches it with CRM data, and writes a draft apology email. Configure Mastra's human-in-the-loop approval so no email goes out without a quick manual check.

Keyword-targeted Delighted routing in Mastra AI

The `search_responses_by_comment` tool searches Delighted survey comments for specific keywords like "bug" or "billing". Your Mastra AI workflows use this to categorize incoming feedback and alert the right engineering or product teams. The Mastra AI agent runs this search on a cron schedule, processes the matching Delighted comments, and maps them to your internal trackers. It turns unstructured customer complaints into structured, actionable Mastra AI workflow inputs.

Setup guide

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

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

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

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Common questions about Delighted MCP in Mastra AI

Yes. You can register the `add_person_to_survey` tool inside your Mastra AI agent to automatically schedule surveys when specific workflow conditions, like a completed checkout, are met.

Mastra AI automatically retries failed calls to the MCP Server tools like `get_nps_metrics_summary` using exponential backoff, ensuring temporary network hiccups don't break your customer feedback pipelines.

Yes. You can use Mastra's requireToolApproval configuration to pause the workflow before your agent executes any MCP tool.

Instantiate `new MCPClient` with the server's URL, then fetch the tools with `listTools()` and spread them directly into your agent's tool configuration array.

Your survey response comments and customer contact emails are processed entirely in memory. The connection to the MCP Server uses secure SSE, keeping your Delighted feedback private and isolated from third-party storage.

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