SurveySparrow MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Contact, Get Contact Info, Get Survey Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SurveySparrow through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The SurveySparrow app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 SurveySparrow, 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 SurveySparrow MCP Server
Connect your SurveySparrow account to any AI agent and simplify how you collect multi-channel feedback, manage your audience directory, and analyze survey data through natural conversation.
The Vercel AI SDK gives every SurveySparrow 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.
What you can do
- Survey Oversight — List all conversational surveys, retrieve detailed configuration metadata, and query question structures.
- Response Analysis — List and query survey submissions with status filtering (completed/started) to monitor completion rates.
- Audience Management — Manage your CRM contacts, create new profiles, and organize them into contact lists for targeted sharing.
- Campaign Tracking — List email shares and invitations to monitor how your surveys are being distributed.
- Webhook Integration — List active webhooks to ensure your event-driven workflows are active and notifying correctly.
- Operational Visibility — Check account status, verify region settings, and manage contact lifecycles directly via AI.
The SurveySparrow 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.
All 12 SurveySparrow tools available for Vercel AI SDK
When Vercel AI SDK connects to SurveySparrow through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-surveys, experience-management, feedback-collection, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add new contact
Get contact details
Get survey info
List survey fields
Get account info
Get notifications config
List contact lists
List audience contacts
List survey invitations
List survey submissions
List SurveySparrow surveys
Delete contact
Connect SurveySparrow to Vercel AI SDK via MCP
Follow these steps to wire SurveySparrow into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the SurveySparrow MCP Server
Vercel AI SDK provides unique advantages when paired with SurveySparrow 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 SurveySparrow integration everywhere
Built-in streaming UI primitives let you display SurveySparrow 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
SurveySparrow + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SurveySparrow MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SurveySparrow in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SurveySparrow tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SurveySparrow capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SurveySparrow through natural language queries
Example Prompts for SurveySparrow in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SurveySparrow immediately.
"List all active surveys in my SurveySparrow account."
"Show me the last 5 responses for the 'Customer Effort Score' survey."
"Search for a contact with the email 'jane.doe@example.com'."
Troubleshooting SurveySparrow MCP Server with Vercel AI SDK
Common issues when connecting SurveySparrow to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSurveySparrow + Vercel AI SDK FAQ
Common questions about integrating SurveySparrow 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.