How to Use the GetFeedback MCP in Vercel AI SDK

Q: How do I check GetFeedback connection status in AI-sdk?

Call verifyapiconnection at the start of your agent workflow. It returns a boolean status so you can handle downtime before your user sends a request.

Q: Can AI-sdk handle GetFeedback pagination?

Yes. Use listfeedbackpage to iterate through your survey records. It gives you control over the offset and limit for every request.

Q: How to filter recent GetFeedback entries in AI-sdk?

Run listrecentfeedback with a date parameter. It isolates the last 24 hours of responses for your agent to summarize.

Stream live GetFeedback survey data directly into your Vercel AI SDK frontends for real-time UI updates.

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Connect GetFeedback MCP to Vercel AI SDK

Create your Vinkius account to connect GetFeedback to Vercel AI SDK 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 Vercel AI SDK

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Real-time survey metrics in AI-sdk

Pipe live feedback stats straight into your UI components using `get_survey_stats`. Your users watch the data populate as the AI client fetches counts, avoiding the dead air of traditional loading states. This approach lets you render live graphs or scorecards in Next.js. You get raw data from `get_survey_stats` and display it while your agent is still processing the next request.

Fetch feedback details on demand

Trigger `get_response_details` to pull specific submission metadata directly into your React state. Your AI client retrieves the exact payload needed to satisfy a user query without fetching unnecessary records. It keeps your edge functions lean. By calling `get_response_details` only when a user asks about a specific entry, you keep your API usage within your defined limits.

Automated survey dispatch via AI-sdk

Use `send_survey_invites` to trigger outgoing communications from your chat interface. Your agent manages the timing, ensuring surveys go out when they matter most to the customer. Integrating `send_survey_invites` allows for conversational survey management. You define the logic in your agent's system prompt, and the tool executes the send command instantly.

Setup guide

Set up GetFeedback 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all GetFeedback tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 GetFeedback transactions",
});

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

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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.

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Common questions about GetFeedback MCP in Vercel AI SDK

Call `verify_api_connection` at the start of your agent workflow. It returns a boolean status so you can handle downtime before your user sends a request.

Yes. Use `list_feedback_page` to iterate through your survey records. It gives you control over the offset and limit for every request.

It does. The transport layer is compatible with standard fetch requests, allowing you to run your agent logic on the edge without issue.

Run `list_recent_feedback` with a date parameter. It isolates the last 24 hours of responses for your agent to summarize.

The server uses your unique endpoint token. Only your authenticated AI client session can touch your survey responses or PII.

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