Swarm MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Get Customer Balance, List Available Rewards, List Customer Vouchers, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Swarm 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 Swarm app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 5 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 Swarm, 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 Swarm MCP Server
Connect your Swarm loyalty account to any AI agent and simplify how you manage customer rewards, award points for transactions, and handle redemptions through natural conversation.
The Vercel AI SDK gives every Swarm tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Point Management — Retrieve real-time point balances and loyalty tiers for specific customer IDs.
- Transaction Processing — Programmatically award points to customers by registering sale amounts and product data via AI.
- Reward Redemption — Convert customer points into discount vouchers or specific rewards and list all active vouchers.
- Catalog Discovery — Browse available rewards and check eligibility for specific customers instantly.
- Voucher Oversight — List and query all unused discount codes currently assigned to a customer's profile.
- Loyalty Lifecycle — Manage the entire customer reward journey directly from Claude, Cursor, or any MCP client.
The Swarm MCP Server exposes 5 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 5 Swarm tools available for Vercel AI SDK
When Vercel AI SDK connects to Swarm through Vinkius, your AI agent gets direct access to every tool listed below — spanning loyalty-programs, rewards-management, customer-retention, 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 customer loyalty points
List redeemable rewards
List active customer vouchers
Process a sale and award points
Redeem points for a reward
Connect Swarm to Vercel AI SDK via MCP
Follow these steps to wire Swarm 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 Swarm MCP Server
Vercel AI SDK provides unique advantages when paired with Swarm 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 Swarm integration everywhere
Built-in streaming UI primitives let you display Swarm 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
Swarm + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Swarm MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Swarm in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Swarm tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Swarm capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Swarm through natural language queries
Example Prompts for Swarm in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Swarm immediately.
"What is the point balance for customer 'cust_10293'?"
"Award points for a $150 purchase to customer 'cust_88231'."
"Show me all available rewards I can claim with 500 points."
Troubleshooting Swarm MCP Server with Vercel AI SDK
Common issues when connecting Swarm to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSwarm + Vercel AI SDK FAQ
Common questions about integrating Swarm 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.