Appcues MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
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.
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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 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
The Appcues MCP Server empowers your AI agent to interact directly with your Appcues account. Whether you need to audit your current onboarding flows, manage user segments, or track real-time user activity, this integration provides a seamless natural language interface to your product experience platform.
The Vercel AI SDK gives every Appcues tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Flow Management — List, view, publish, and unpublish flows (in-app experiences) across web and mobile.
- User Segmentation — Retrieve and analyze your targeting segments to understand who is seeing your content.
- Activity Tracking — Send real-time events and profile updates for immediate targeting and personalization.
- Mobile Support — Access specific experiences designed for your mobile applications.
- Auditing & Reporting — Quickly check account status, checklists, and experience metadata.
Benefits for Teams
- Product Managers — Quickly audit which onboarding flows are active and make changes without leaving your AI workspace.
- Growth Engineers — Programmatically track user events to trigger personalized in-app journeys.
- Customer Success — View user profiles and segment membership to provide better support and guidance.
The Appcues MCP Server exposes 11 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 Appcues to Vercel AI SDK via MCP
Follow these steps to integrate the Appcues 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 11 tools from Appcues and passes them to the LLM
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
Appcues MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Appcues to Vercel AI SDK via MCP:
get_account_details
Verify Appcues account connection
get_flow
Get details for a specific flow
get_segment
Get details for a specific segment
get_user_profile
Retrieve the profile of a specific user
list_checklists
List all checklists configured in the account
list_flows
List all Appcues flows (experiences) for the account
list_mobile_experiences
List mobile-specific experiences
list_segments
List all user segments defined in Appcues
publish_flow
Publish a draft flow
track_user_activity
Use JSON strings for profileUpdate and events. Track real-time events and profile updates for a user
unpublish_flow
Unpublish an active flow
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 my active Appcues flows."
"Track a 'clicked_checkout' event for user 'user_123'."
"Show me the details of the segment with ID '998877'."
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.Connect Appcues 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 Appcues to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.