How to Use the SurveySparrow MCP in Mastra AI

Q: Can I check what surveys SurveySparrow supports with mastra-ai?

Yes, you use listsurveys to get a definitive list of IDs and titles. This allows your workflow engine to dynamically select the correct survey for processing.

Q: What if I need to find out who participated in SurveySparrow with mastra-ai?

You'll use listsurveyresponses. The agent can process these responses over time, checking submissions and ensuring that the flow continues even if some data points are missing.

Q: Does SurveySparrow support deleting contacts when using mastra-ai?

Yes. You use removecontact to delete a contact record managed by SurveySparrow, providing a clean endpoint for your multi-step workflow completion.

Automate complex SurveySparrow workflows and handle failures reliably with mastra-ai.

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Setup SurveySparrow with Mastra AI

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Build Complex Follow-Up Workflows

You can create multi-step processes that survive failure. For example, if a survey response is incomplete (a failed step), the workflow automatically retries by calling `get_survey_details` to check for required fields. If it fails again, the agent notifies an admin via a custom action. This conditional branching logic means your complex SurveySparrow processes don't just stop; they handle exceptions gracefully using built-in exponential backoff.

Manage Contact Data in Sequences

The agent needs to maintain state across multiple actions. Use `create_contact` at the start of a workflow, and then later use `get_contact_info` to verify changes. The mastra-ai framework keeps track of these IDs, ensuring that your entire SurveySparrow sequence works with the latest record. This guarantees data integrity across long-running operations, making it ideal for complex B2B onboarding surveys.

Monitor and Trigger Webhook Actions

Don't just rely on manual checks. Your agent can use `list_active_webhooks` to see what notifications are set up in SurveySparrow. It can then trigger a workflow based on the successful detection of new data using webhooks. This capability lets you build automated responses—for instance, if a critical survey response comes in, the entire mastra-ai system triggers an immediate escalation path.

Setup guide

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

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

const result = await agent.generate(
  "List recent SurveySparrow 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 SurveySparrow. 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 SurveySparrow MCP in Mastra AI

The server touches contact records. The agent should ensure that any sensitive PII (Personally Identifiable Information) retrieved via `get_contact_info` is encrypted or masked before passing it to subsequent steps in the workflow.

The mastra-ai framework manages this. It automatically retries the operation using exponential backoff, which means it waits longer between attempts until the connection is stable. You don't have to write that logic yourself.

Yes, you use `list_surveys` to get a definitive list of IDs and titles. This allows your workflow engine to dynamically select the correct survey for processing.

You'll use `list_survey_responses`. The agent can process these responses over time, checking submissions and ensuring that the flow continues even if some data points are missing.

Yes. You use `remove_contact` to delete a contact record managed by SurveySparrow, providing a clean endpoint for your multi-step workflow completion.

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