2,500+ MCP servers ready to use
Vinkius

Alchemer MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Alchemer through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Alchemer, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Alchemer
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Alchemer MCP Server

Connect your Alchemer (formerly SurveyGizmo) account to your AI agent to unlock professional survey management and customer feedback orchestration. From auditing survey structures and questions to retrieving real-time responses and generating granular reports, your agent handles your feedback lifecycle through natural conversation.

The Vercel AI SDK gives every Alchemer tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 Orchestration — List and retrieve details for surveys, including their current status and technical metadata
  • Question Management — List and audit survey questions to ensure your data collection is precisely configured
  • Response Auditing — Retrieve and analyze individual or aggregated survey responses directly from chat
  • Reporting & Campaigns — List and manage survey reports and campaigns to monitor your data distribution and analysis
  • Contact Oversight — List and manage contact lists used for targeted survey distribution

The Alchemer MCP Server exposes 10 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 Alchemer to Vercel AI SDK via MCP

Follow these steps to integrate the Alchemer MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Alchemer and passes them to the LLM

Why Use Vercel AI SDK with the Alchemer MCP Server

Vercel AI SDK provides unique advantages when paired with Alchemer through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Alchemer integration everywhere

03

Built-in streaming UI primitives let you display Alchemer tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Alchemer + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Alchemer MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Alchemer in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Alchemer tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Alchemer capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Alchemer through natural language queries

Alchemer MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Alchemer to Vercel AI SDK via MCP:

01

get_account_usage

Check account status

02

get_question_details

Get question metadata

03

get_response_details

Get response data

04

get_survey_details

Get survey metadata

05

list_contact_lists

List survey contacts

06

list_survey_campaigns

List distribution campaigns

07

list_survey_questions

List survey questions

08

list_survey_reports

List survey reports

09

list_survey_responses

List survey submissions

10

list_surveys

List account surveys

Example Prompts for Alchemer in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Alchemer immediately.

01

"List all active surveys in my Alchemer account."

02

"Show me the last 5 responses for survey ID 1234567."

03

"List all questions in the 'Customer Satisfaction' survey."

Troubleshooting Alchemer MCP Server with Vercel AI SDK

Common issues when connecting Alchemer to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Alchemer + Vercel AI SDK FAQ

Common questions about integrating Alchemer MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Alchemer to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.