How to Use the Medallia MCP in Mastra AI

Build resilient feedback workflows with Mastra AI and the Medallia MCP server to automate your customer response cycles.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Medallia MCP to Mastra AI

Create your Vinkius account to connect Medallia 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 Medallia with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated response orchestration

Chain together `list_responses` and `get_response` to build autonomous feedback loops. Mastra AI handles the branching logic, ensuring your team only sees the data that requires action. You define the workflow conditions once. The system then automatically retries failed calls if the Medallia API rate limit hits, keeping your operations moving.

Conditional alert escalation

Set up triggers using `list_alerts` that branch based on severity. If a high-priority alert appears, the workflow can immediately call `get_alert` to extract the root cause. This moves your team from manual monitoring to reactive management. The framework handles the state, so you don't have to write custom polling scripts.

User access governance

Audit and manage your feedback access by integrating `list_users` into your administrative workflows. You ensure that only authorized personnel can pull specific survey data. Keep your data access logs clean within your agent framework. It forces a clear separation between data retrieval and team permissions.

Setup guide

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

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

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

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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 Medallia MCP in Mastra AI

Define the MCP server in your configuration file using the endpoint URL. You then spread the available tools into your agent definition to grant it access.

Yes, you can enable tool approval for sensitive actions. This forces the agent to pause until you confirm the execution of any data-fetching command.

The server handles authentication via a secure token. Your credentials remain outside the agent's memory and are never exposed in your workflow logs.

You can trigger these tools from a cron job or a webhook. The framework will execute the sequence and notify you of the results.

All survey responses are processed in an isolated environment. The data is treated as sensitive input and is purged once the agent workflow completes.

Use it with your favorite AI tools

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