How to Use the Appcues MCP in Vercel AI SDK

Q: How do I connect the Appcues MCP Server to Vercel AI SDK?

Install the @ai-sdk/mcp package via npm. Initialize the connection using createMCPClient with the Vinkius HTTP endpoint. Pass the resulting tools into your generateText or streamText calls.

Q: How does this server handle Appcues user profile privacy?

The getuserprofile tool accesses behavioral data and PII stored in your account. Vinkius runs the connection inside a zero-trust V8 Isolate sandbox. Data passes through ephemerally and nothing gets logged on our infrastructure.

Stream Appcues flow data and segment details directly into your Next.js frontends with Vercel AI SDK.

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Connect Appcues MCP to Vercel AI SDK

Create your Vinkius account to connect Appcues 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 Appcues with Vercel AI SDK

Ask AI about this MCP

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Stream User Profiles Live

Internal dashboards for your product managers just got easier to build. You pipe `get_user_profile` straight into a React component using `useChat`. The end user asks for a specific customer record, and the UI populates instantly without a loading spinner. Event tracking happens right from the interface too. When your support team needs to log a manual interaction, they trigger `track_user_activity` through the chat. Vercel AI SDK handles the MCP tool execution while keeping the frontend perfectly synced.

Control Onboarding Experiences

Draft content management usually means clicking through ten different menus. Now you just wire up `list_flows` to a custom command palette. Your team sees exactly what is live and what is pending. Pushing updates takes seconds. Calling `publish_flow` executes the state change on the server side. The MCP protocol handles the authentication so you never leak Appcues API keys to the browser.

Inspect Targeting Rules via MCP Server

Figuring out why a customer missed an in-app message is notoriously painful. Exposing `get_segment` lets your internal tools query the exact targeting logic. You see the rules right next to the user's actual behavior. Mobile parity reviews work the same way. Running `list_mobile_experiences` alongside `list_checklists` gives you a complete picture of what a user sees across platforms. Everything renders cleanly in your Svelte or Vue application.

Setup guide

Set up Appcues 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 Appcues 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 Appcues transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Appcues. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Appcues now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Appcues MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package via npm. Initialize the connection using `createMCPClient` with the Vinkius HTTP endpoint. Pass the resulting tools into your `generateText` or `streamText` calls.

Yes, it handles state changes natively. Your prompt triggers the `publish_flow` tool, and the SDK executes the HTTP request. Just make sure you call `mcpClient.close()` when the session ends.

You get full access to onboarding content and audience rules. Tools like `list_segments` and `get_account_details` return JSON that streams directly into your frontend components.

The Vinkius endpoint manages the underlying Appcues authentication. You provide your single Vinkius token to the `authProvider` in your SDK configuration. We handle the rest.

The `get_user_profile` tool accesses behavioral data and PII stored in your account. Vinkius runs the connection inside a zero-trust V8 Isolate sandbox. Data passes through ephemerally and nothing gets logged on our infrastructure.

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