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Alai MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Getalai Status, Create Asset, Create Campaign, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Alai app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
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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 Alai MCP Server

Connect your Alai (getalai.com) account to any AI agent and take full control of your automated marketing content generation and high-fidelity asset distribution through natural conversation.

The Vercel AI SDK gives every Alai tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Content Portfolio Orchestration — List and manage your entire high-fidelity portfolio of AI-generated marketing assets programmatically, retrieving detailed platform metadata
  • Campaign & Request Intelligence — Programmatically trigger and monitor real-time content generation jobs to maintain a perfectly coordinated marketing pipeline
  • Asset Monitoring Discovery — Access real-time status updates for processed assets (images, text) and track individual performance metrics directly through your agent
  • Metadata Management — Programmatically retrieve high-fidelity content IDs and session status to maintain a perfectly coordinated media record
  • Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling

The Alai MCP Server exposes 12 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 12 Alai tools available for Vercel AI SDK

When Vercel AI SDK connects to Alai through Vinkius, your AI agent gets direct access to every tool listed below — spanning content-generation, ai-portraits, asset-management, 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.

check_getalai_status

Verify connectivity

create_asset

Create an asset

create_campaign

Create a campaign

delete_asset

Delete an asset

generate_content

Generate AI content

get_asset

Get asset details

get_campaign

Get campaign details

get_generation

Get generation details

list_assets

List assets

list_campaigns

List campaigns

list_generations

List generations

list_templates

List templates

Connect Alai to Vercel AI SDK via MCP

Follow these steps to wire Alai into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from Alai and passes them to the LLM

Why Use Vercel AI SDK with the Alai MCP Server

Vercel AI SDK provides unique advantages when paired with Alai 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 Alai integration everywhere

03

Built-in streaming UI primitives let you display Alai 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

Alai + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Alai in Vercel AI SDK

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

01

"List all active marketing campaigns in my Alai account."

02

"Show the last 5 assets generated for 'Social Media Push'."

03

"Check for any content generation jobs in 'Processing' status."

Troubleshooting Alai MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Alai + Vercel AI SDK FAQ

Common questions about integrating Alai 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.