How to Use the GetFeedback MCP in Mastra AI

Q: How to list GetFeedback surveys using Mastra AI?

Use the listsurveys tool. It returns an array of all active surveys, which you can then pass to other agents in your workflow.

Q: How to handle GetFeedback errors in Mastra AI?

Define a fallback tool in your workflow. If verifyapiconnection fails, the agent redirects to a notification step for the admin.

Q: Can I automate GetFeedback feedback ingestion in Mastra AI?

You can. Use listcompletedfeedback in a scheduled agent task. It pulls new entries into your system on a set interval.

Build resilient GetFeedback survey workflows in Mastra AI with automatic retries and conditional logic.

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Connect GetFeedback MCP to Mastra AI

Create your Vinkius account to connect GetFeedback 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 GetFeedback with Mastra AI

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Conditional survey logic in Mastra AI

Chain `list_surveys` with `get_survey_details` to verify survey status before taking action. If a survey is closed, your agent branches to an error handling workflow. You avoid failed requests by checking state first. Use `list_surveys` to grab the ID, then feed that into your next step to ensure your agent acts on valid targets.

Robust error recovery for GetFeedback

Wrap `send_survey_invites` in a Mastra AI workflow with exponential backoff. If the API hits a limit, the agent waits and tries again. This keeps your survey operations running without manual intervention. You define the retry policy once, and the agent handles the rest of the communication cycle.

Monitor API health in Mastra AI

Use `check_api_limits` as a prerequisite for any bulk data fetch. Your agent queries the limit status before starting a long-running job. It prevents 429 errors during high-volume feedback ingestion. By placing `check_api_limits` at the start of your agent tool list, you ensure the connection is ready for heavy lifting.

Setup guide

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

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

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

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Common questions about GetFeedback MCP in Mastra AI

Use the `list_surveys` tool. It returns an array of all active surveys, which you can then pass to other agents in your workflow.

Yes. Enable requireToolApproval for any sensitive function like `send_survey_invites`. A human must sign off before the agent executes the send.

Define a fallback tool in your workflow. If `verify_api_connection` fails, the agent redirects to a notification step for the admin.

You can. Use `list_completed_feedback` in a scheduled agent task. It pulls new entries into your system on a set interval.

The connection uses ephemeral tokens scoped to your server. Your survey metadata and customer identifiers never leave the isolated V8 sandbox.

Use it with your favorite AI tools

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

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