Expansify AI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Analyze Keyword Seo, Create Campaign, Generate Ai Content, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Expansify AI 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 Expansify AI app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 6 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 Expansify AI, 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 Expansify AI MCP Server
Connect your Expansify AI account to any AI agent and take full control of your content marketing and SEO workflows through natural conversation.
The Vercel AI SDK gives every Expansify AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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 Orchestration — List and manage all AI content campaigns and retrieve detailed metadata about strategy and performance programmatically
- Automated Content Generation — Programmatically generate blog posts, social media updates, and ad copy by providing prompts and content types directly through your agent
- SEO Intelligence — List and monitor tracked SEO keywords to maintain a high-fidelity oversight of your search engine visibility
- Keyword Analysis — Trigger deep SEO analysis for specific keywords to optimize your content strategy and identify ranking opportunities
- Content Library Navigation — Access the complete history of generated AI content to reuse or refine previous marketing materials
The Expansify AI MCP Server exposes 6 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 6 Expansify AI tools available for Vercel AI SDK
When Vercel AI SDK connects to Expansify AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning content-generation, campaign-management, seo-tracking, 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.
Analyze a keyword for SEO
Create a new content campaign
). Generate new AI content
List all AI content campaigns
List generated AI content
List tracked SEO keywords
Connect Expansify AI to Vercel AI SDK via MCP
Follow these steps to wire Expansify AI 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 Expansify AI MCP Server
Vercel AI SDK provides unique advantages when paired with Expansify AI 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 Expansify AI integration everywhere
Built-in streaming UI primitives let you display Expansify AI 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
Expansify AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Expansify AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Expansify AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Expansify AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Expansify AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Expansify AI through natural language queries
Example Prompts for Expansify AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Expansify AI immediately.
"Generate a blog post about 'The future of RAG in 2026' using Expansify AI."
"List all my active content campaigns."
"Analyze the SEO difficulty for the keyword 'mcp server implementation'."
Troubleshooting Expansify AI MCP Server with Vercel AI SDK
Common issues when connecting Expansify AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpExpansify AI + Vercel AI SDK FAQ
Common questions about integrating Expansify AI 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.