How to Use the Zendesk QA (Klaus) MCP in Mastra AI

Q: How do I search for conversations using Zendesk QA (Klaus) and Mastra AI?

The agent calls searchqaconversations. If the first attempt fails due to rate limiting, Mastra automatically retries the call with exponential backoff, guaranteeing you get those results.

Q: What is the best way to list reviews using Zendesk QA (Klaus) and Mastra AI?

First, use listqaworkspaces to find all IDs. Then, feed those into a second tool call: listworkspacereviews. This sequential workflow ensures you cover every relevant area.

Q: Can I delete old data using Zendesk QA (Klaus) and Mastra AI?

Yes. You use the deleteqatickets tool. The framework manages the execution, ensuring that the deletion happens cleanly and you get confirmation status back.

Q: Which data types can I import using Zendesk QA (Klaus) and Mastra AI?

You can handle conversation imports with importqatickets, or sync user accounts by running importqausers. The workflow engine makes these steps reliable.

Build complex Zendesk QA (Klaus) review pipelines with Mastra AI for reliable workflows.

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Connect Zendesk QA (Klaus) MCP to Mastra AI

Create your Vinkius account to connect Zendesk QA (Klaus) 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 Zendesk QA (Klaus) with Mastra AI

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You can build a workflow that first calls `list_qa_workspaces` to identify target IDs. Then, the agent uses those IDs in a subsequent call to `list_workspace_reviews`. Mastra handles the sequential execution and retries if one step fails. This lets you automate complex data gathering processes, ensuring your review collection pipeline is robust even if API calls flake out.

Sync Zendesk QA (Klaus) user lists

Need to ensure all agents are in the system? Run `import_qa_users`. The agent framework handles this sync, automatically retrying connections until the user list is fully updated. This eliminates manual data entry. If you need to scrub old records, simply calling `delete_qa_tickets` cleans up specific ticket entries.

Search and export conversation history

Use `search_qa_conversations` to pinpoint conversations based on keywords. The framework can take these results and feed them into a structured output, making them ready for your next step. Furthermore, if you need raw data for review, calling `list_all_reviews` gets everything compiled in one go.

Setup guide

Set up Zendesk QA (Klaus) 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 Zendesk QA (Klaus) 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: "zendesk-qa-klaus-mcp-client",
  servers: {
    "zendesk-qa-klaus-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Zendesk QA (Klaus) 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 Zendesk QA (Klaus). 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 Zendesk QA (Klaus) MCP in Mastra AI

The agent calls `search_qa_conversations`. If the first attempt fails due to rate limiting, Mastra automatically retries the call with exponential backoff, guaranteeing you get those results.

First, use `list_qa_workspaces` to find all IDs. Then, feed those into a second tool call: `list_workspace_reviews`. This sequential workflow ensures you cover every relevant area.

Yes. You use the `delete_qa_tickets` tool. The framework manages the execution, ensuring that the deletion happens cleanly and you get confirmation status back.

You can handle conversation imports with `import_qa_tickets`, or sync user accounts by running `import_qa_users`. The workflow engine makes these steps reliable.

This server touches QA Reviews, Ticket Data, and User/Agent records. When deleting, you target the ticket data using `delete_qa_tickets`.

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