Appcues MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Appcues Status, Delete User, Get Flow, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Appcues 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 Appcues app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 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 Appcues, 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 Appcues MCP Server
Connect your Appcues account to any AI agent and take full control of your in-app onboarding and automated user experience orchestration through natural conversation.
The Vercel AI SDK gives every Appcues 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
- Experience Portfolio Orchestration — List and manage your entire portfolio of flows and checklists programmatically, retrieving detailed engagement metadata
- User & Event Intelligence — Programmatically monitor real-time user events and access behavioral metadata to coordinate your engagement strategy
- Segment & Targeting Architecture — Access your complete directory of user segments to coordinate your organizational resource allocation
- Performance Monitoring — Access real-time status updates for active flows and track individual completion metrics directly through your agent for instant reporting
- Operational Monitoring — Verify account-level API connectivity and monitor event ingestion volume directly through your agent for perfectly coordinated service scaling
The Appcues 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.
All 10 Appcues tools available for Vercel AI SDK
When Vercel AI SDK connects to Appcues through Vinkius, your AI agent gets direct access to every tool listed below — spanning user-onboarding, in-app-messaging, product-adoption, 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.
Verify Appcues API connectivity
This action is irreversible. Delete a user from Appcues
Get flow details
Get segment details
Get user profile from Appcues
List all checklists
List all onboarding flows
List all user segments
The flow must be in draft or unpublished state. Publish a flow
Users will no longer see it until republished. Unpublish a flow
Connect Appcues to Vercel AI SDK via MCP
Follow these steps to wire Appcues 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 Appcues MCP Server
Vercel AI SDK provides unique advantages when paired with Appcues 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 Appcues integration everywhere
Built-in streaming UI primitives let you display Appcues 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
Appcues + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Appcues MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Appcues in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Appcues tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Appcues capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Appcues through natural language queries
Example Prompts for Appcues in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Appcues immediately.
"List all active flows in my Appcues account."
"Show the completion rate for the 'Welcome Flow' from this week."
"Check for any active segments with zero engaged users this month."
Troubleshooting Appcues MCP Server with Vercel AI SDK
Common issues when connecting Appcues to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAppcues + Vercel AI SDK FAQ
Common questions about integrating Appcues 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.