ReferralCandy MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 16 tools to Check Referralcandy Status, Get Campaign, Get Referral, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ReferralCandy 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 ReferralCandy app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 16 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 ReferralCandy, 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 ReferralCandy MCP Server
Give your AI agent full programmatic control over your ReferralCandy ecosystem. With 16 tools tailored for referral marketing, your agent can instantly track referrals by period, register attributed purchases, identify top advocates, monitor pending rewards, manage campaigns, and send referral invitations directly from your natural language workspace.
The Vercel AI SDK gives every ReferralCandy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 16 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
- List and filter referrals by period
- Register purchases to trigger rewards
- Identify and manage top-performing advocates
- Monitor pending referral payouts
- Configure campaigns and send invites
- Access overall program statistics
Who is it for?
Designed for marketing teams, e-commerce operators, and growth hackers who need instant, conversational access to affiliate and referral performance metrics.The ReferralCandy MCP Server exposes 16 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 16 ReferralCandy tools available for Vercel AI SDK
When Vercel AI SDK connects to ReferralCandy through Vinkius, your AI agent gets direct access to every tool listed below — spanning referral-marketing, affiliates, loyalty, 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.
Verify connectivity
Get campaign details
Get referral details
Get advocate profile
Get program stats
Get top advocates
List campaigns
List sent invites
List pending rewards
List referred purchases
List all referrals
List referrals by period
List all advocates
List all rewards
Register a purchase
Send a referral invite
Connect ReferralCandy to Vercel AI SDK via MCP
Follow these steps to wire ReferralCandy 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 ReferralCandy MCP Server
Vercel AI SDK provides unique advantages when paired with ReferralCandy 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 ReferralCandy integration everywhere
Built-in streaming UI primitives let you display ReferralCandy 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
ReferralCandy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ReferralCandy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ReferralCandy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ReferralCandy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ReferralCandy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ReferralCandy through natural language queries
Example Prompts for ReferralCandy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ReferralCandy immediately.
"Can you find the top referrers in my ReferralCandy program for the last month?"
"Register a purchase of $150.00 for order #90210 by customer@example.com."
"List all pending referral rewards that need to be processed this week."
Troubleshooting ReferralCandy MCP Server with Vercel AI SDK
Common issues when connecting ReferralCandy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpReferralCandy + Vercel AI SDK FAQ
Common questions about integrating ReferralCandy 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.