Appier MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Appier 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 MCP SERVER
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 Appier, 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 Appier MCP Server
Connect your Appier environment to any AI agent and bring the power of AI-driven marketing campaigns directly into your chat interface. Skip the complex dashboards and interact with your predictive segments, marketing performance, and conversion tracking using natural language.
The Vercel AI SDK gives every Appier tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Campaign Management — List all active CrossX or AIQUA campaigns and drill down into specific campaign configurations instantly
- Audience & Segments — Retrieve AI-generated audiences, view segment sizes, and understand criteria predicting user behavior
- Predictive Models — List actively running ML predictions like Churn and Purchase probability models
- Conversion Tracking — View historical tracked conversion events like signups or purchases
- Performance Analytics — Fetch full analytics (CTR, CPC, ROAS, and Conversions) for any given campaign
The Appier MCP Server exposes 8 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 Appier to Vercel AI SDK via MCP
Follow these steps to integrate the Appier 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 8 tools from Appier and passes them to the LLM
Why Use Vercel AI SDK with the Appier MCP Server
Vercel AI SDK provides unique advantages when paired with Appier 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 Appier integration everywhere
Built-in streaming UI primitives let you display Appier 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
Appier + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Appier MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Appier in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Appier tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Appier capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Appier through natural language queries
Appier MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Appier to Vercel AI SDK via MCP:
get_audience
Get details for a specific audience
get_campaign
Get specific marketing campaign details
get_campaign_analytics
Get analytics and performance metrics for a campaign
list_audiences
List all target audiences
list_campaigns
List all AI marketing campaigns in Appier
list_conversions
List tracked conversion events
list_predictions
List available AI prediction models
list_segments
List configured user segments
Example Prompts for Appier in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Appier immediately.
"List all active marketing campaigns we have on Appier."
"What is our current ROAS and CPC for campaign cmp_q3rtg?"
"What predictive models do we have running right now?"
Troubleshooting Appier MCP Server with Vercel AI SDK
Common issues when connecting Appier to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAppier + Vercel AI SDK FAQ
Common questions about integrating Appier 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 Appier 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 Appier to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.