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How to Use the SurveySparrow MCP in Vercel AI SDK

Get real-time insights into survey data with your AI client.

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Works with every AI agent you already use

…and any MCP-compatible client

SurveySparrow MCP on Cursor AI Code Editor MCP Client SurveySparrow MCP on Claude Desktop App MCP Integration SurveySparrow MCP on OpenAI Agents SDK MCP Compatible SurveySparrow MCP on Visual Studio Code MCP Extension Client SurveySparrow MCP on GitHub Copilot AI Agent MCP Integration SurveySparrow MCP on Google Gemini AI MCP Integration SurveySparrow MCP on Lovable AI Development MCP Client SurveySparrow MCP on Mistral AI Agents MCP Compatible SurveySparrow MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect SurveySparrow MCP to Vercel AI SDK

Create your Vinkius account to connect SurveySparrow to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Stream Survey Responses to the User

Need to show users fresh feedback immediately? You can stream results live using `list_survey_responses`. Instead of waiting for a page load, your agent calls this tool and streams the data directly into the UI. This makes the entire process feel instantaneous. This real-time capability is perfect for building dashboards where end-users need to see survey submissions appear as they happen. You'll use `list_survey_responses` in conjunction with streaming to give a smooth, live data feed.

Manage and Display Contact Details

Keep user lists accurate by checking contacts on the fly. Your client uses `get_contact_info` or `list_crm_contacts` to pull current details before displaying them to the user. This means you can show the user's name, email, or other fields right in the chat interface. It’s super useful for building onboarding flows where the AI needs to confirm who it’s talking to. Just call `get_contact_info` and pass the result straight through your component state.

List Available Survey Options

Before running any analysis, you need context. The client can call `list_surveys` to pull a list of all available survey IDs. This lets your agent dynamically build the UI elements needed for data retrieval. You also get the full picture using `get_survey_details`, which gives more than just the name—it provides structure and metadata, helping your front-end know exactly what kind of questions to expect from SurveySparrow.

Setup guide

Set up SurveySparrow MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all SurveySparrow tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent SurveySparrow transactions",
});

console.log(text);
await mcpClient.close();

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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 SurveySparrow MCP in Vercel AI SDK

This server touches contact information. When implementing, always ensure that any retrieved PII (Personally Identifiable Information) is handled according to GDPR or HIPAA standards before streaming it into the client UI.
Yes. Because you're using a streaming SDK, it handles high throughput better than traditional API calls. You can stream thousands of survey responses without running into massive loading spinners.
Use `list_crm_contacts`. This tool gives you an audience view, which is better than just pulling one person's details. You can pass this structured list directly into your React component.
You validate workflows by calling `get_survey_questions`. This shows the structure of a specific survey. Your agent client then uses that explicit field list to build robust, type-safe prompts.
You’ll want `remove_contact`. This function allows your agent client to send a direct API call to remove the contact record associated with the survey flow.

Start using the SurveySparrow MCP today

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