GetFeedback MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GetFeedback through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using GetFeedback, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About GetFeedback MCP Server
Connect your GetFeedback account to any AI agent to automate your customer feedback and survey reporting workflows through the Model Context Protocol (MCP). GetFeedback is a powerful, mobile-friendly survey platform that helps brands collect and analyze customer sentiment in real-time. This MCP server enables you to retrieve survey results, monitor completion statuses, and trigger survey invitations directly through natural conversation.
The Vercel AI SDK gives every GetFeedback tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Survey Orchestration — List all active surveys in your account and fetch detailed structural metadata for each form.
- Real-time Response Tracking — Retrieve customer feedback as it arrives, including detailed answer payloads and completion timestamps.
- Advanced Filtering — List survey responses filtered by status (started, completed) or created after a specific date for targeted reporting.
- Automated Invitations — Trigger survey emails to a list of recipients programmatically from your chat interface.
- Identity Oversight — Access global profile information for the authenticated GetFeedback user to ensure correct account context.
- Data Connectivity — Verify your API connection and account health to maintain seamless feedback loops.
- Asynchronous Monitoring — Fetch high-level response counts and status metrics to track survey performance instantly.
The GetFeedback MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect GetFeedback to Vercel AI SDK via MCP
Follow these steps to integrate the GetFeedback MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from GetFeedback and passes them to the LLM
Why Use Vercel AI SDK with the GetFeedback MCP Server
Vercel AI SDK provides unique advantages when paired with GetFeedback through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same GetFeedback integration everywhere
Built-in streaming UI primitives let you display GetFeedback tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
GetFeedback + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GetFeedback MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GetFeedback in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GetFeedback tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GetFeedback capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GetFeedback through natural language queries
GetFeedback MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect GetFeedback to Vercel AI SDK via MCP:
check_api_limits
Verify connectivity
get_my_identity
Get user identity
get_response_details
Get response metadata
get_survey_details
Get survey metadata
get_survey_stats
Get response count
list_completed_feedback
Filter for completed
list_feedback_page
Paginated responses
list_recent_feedback
Filter by date
list_survey_responses
List feedback data
list_surveys
List all surveys
send_survey_invites
Trigger survey email
verify_api_connection
Check connection
Example Prompts for GetFeedback in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GetFeedback immediately.
"List all active surveys in my GetFeedback account."
"Show me the last 5 completed responses for survey '12345'."
"Send the 'Onboarding Survey' (ID: 98765) to ['user1@test.com', 'user2@test.com']."
Troubleshooting GetFeedback MCP Server with Vercel AI SDK
Common issues when connecting GetFeedback to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGetFeedback + Vercel AI SDK FAQ
Common questions about integrating GetFeedback MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect GetFeedback with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect GetFeedback to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.